-
2
-
-
0002431412
-
Forecast functions implied by autoregressiveintegrated moving average models and other related forecast procedures
-
4.3, 4.4
-
Abraham, B. and Ledolter, J. (1986) Forecast functions implied by autoregressiveintegrated moving average models and other related forecast procedures. Int. Stat. Review, 54, 51-66. [4.3, 4.4]
-
(1986)
Int. Stat. Review
, vol.54
, pp. 51-66
-
-
Abraham, B.1
Ledolter, J.2
-
4
-
-
67649327566
-
Forecasting performance of structural time series models
-
6.4
-
Andrews, R. L. (1994) Forecasting performance of structural time series models. J. Bus. Econ. Statist., 12, 129-133. [6.4]
-
(1994)
J. Bus. Econ. Statist.
, vol.12
, pp. 129-133
-
-
Andrews, R.L.1
-
5
-
-
0001190081
-
Prediction mean squared error for state space models with estimated parameters
-
7.4
-
Ansley, C. F. and Kohn, R. (1986) Prediction mean squared error for state space models with estimated parameters. Biometrika, 73, 467-473. [7.4]
-
(1986)
Biometrika
, vol.73
, pp. 467-473
-
-
Ansley, C.F.1
Kohn, R.2
-
6
-
-
0000249732
-
Finite sample properties of estimators for autoregressive-moving average models
-
4.2, 7.4
-
Ansley, C. F. and Newbold, P. (1980) Finite sample properties of estimators for autoregressive-moving average models. J. Econometrics, 13, 159-183. [4.2, 7.4]
-
(1980)
J. Econometrics
, vol.13
, pp. 159-183
-
-
Ansley, C.F.1
Newbold, P.2
-
7
-
-
0009204651
-
On the bias in estimates of forecast mean squared error
-
7.4
-
Ansley, C. F. and Newbold, P. (1981) On the bias in estimates of forecast mean squared error. J. Amer. Statist. Assoc., 76, 569-578. [7.4]
-
(1981)
J. Amer. Statist. Assoc.
, vol.76
, pp. 569-578
-
-
Ansley, C.F.1
Newbold, P.2
-
9
-
-
2842539896
-
How to avoid exploratory research
-
5.2
-
Armstrong, J. S. (1970) How to avoid exploratory research. J. Advertising Research, 10, 27-30. [5.2]
-
(1970)
J. Advertising Research
, vol.10
, pp. 27-30
-
-
Armstrong, J.S.1
-
12
-
-
0002006114
-
Error measures for generalizing about forecasting methods: Empirical comparisons
-
6.3
-
Armstrong, J. S. and Collopy, F. (1992) Error measures for generalizing about forecasting methods: Empirical comparisons. Int. J. Forecasting, 8, 69-80. [6.3]
-
(1992)
Int. J. Forecasting
, vol.8
, pp. 69-80
-
-
Armstrong, J.S.1
Collopy, F.2
-
13
-
-
0011935254
-
Integration of statistical methods and judgment for time series forecasting: Principles from empirical research. In Forecasting with Judgment (eds. G. Wright and P. Goodwin), pp. 269-293. New York: Wiley
-
Armstrong, J. S. and Collopy, F. (1998) Integration of statistical methods and judgment for time series forecasting: Principles from empirical research. In Forecasting with Judgment (eds. G. Wright and P. Goodwin), pp. 269-293. New York: Wiley. [1.1]
-
(1998)
[1.1]
-
-
Armstrong, J.S.1
Collopy, F.2
-
14
-
-
0035390194
-
Identification of asymmetric prediction intervals through causal forces
-
To appear. [7.7
-
Armstrong, J. S. and Collopy, F. (2001) Identification of asymmetric prediction intervals through causal forces. J. Forecasting. To appear. [7.7]
-
(2001)
J. Forecasting.
-
-
Armstrong, J.S.1
Collopy, F.2
-
15
-
-
84984442873
-
Commentary on the Makridakis time series competition (M-competition)
-
Armstrong, J. S. and Lusk, E. J. (eds.) (1983) Commentary on the Makridakis time series competition (M-competition). J. of Forecasting, 2, 259-311. [6.4]
-
(1983)
J. of Forecasting
, vol.2
, pp. 259-311
-
-
Armstrong, J.S.1
Lusk, E.J.2
-
16
-
-
0001470257
-
On the relative worth of recent macroeconomic forecasts
-
5.1, 7.7
-
Ashley, R. (1988) On the relative worth of recent macroeconomic forecasts. Int. J. Forecasting, 4, 363-376. [5.1, 7.7]
-
(1988)
Int. J. Forecasting
, vol.4
, pp. 363-376
-
-
Ashley, R.1
-
17
-
-
0018702937
-
Asymptotic prediction mean squared error for vector autoregressive models
-
7.4
-
Baillie, R. T. (1979) Asymptotic prediction mean squared error for vector autoregressive models. Biometrika, 66, 675-678. [7.4]
-
(1979)
Biometrika
, vol.66
, pp. 675-678
-
-
Baillie, R.T.1
-
18
-
-
0242579966
-
Trend growth in post-1850 British economic history: The Kalman filter and historical judgment
-
2.3
-
Ball, M. and Wood, A. (1996) Trend growth in post-1850 British economic history: the Kalman filter and historical judgment. The Statistician, 45, 143-152. [2.3]
-
(1996)
The Statistician
, vol.45
, pp. 143-152
-
-
Ball, M.1
Wood, A.2
-
19
-
-
0003582520
-
-
Oxford: Oxford Univ. Press. [5.4
-
Banerjee, A., Dolado, J., Galbraith, J. W. and Hendry, D. F. (1993) Co-Integration, Error-Correction, and the Econometric Analysis of Non-Stationary Data. Oxford: Oxford Univ. Press. [5.4]
-
(1993)
Co-Integration, Error-Correction, and the Econometric Analysis of Non-Stationary Data
-
-
Banerjee, A.1
Dolado, J.2
Galbraith, J.W.3
Hendry, D.F.4
-
20
-
-
0002061759
-
Estimation of an autoregressive model using Markovchain Monte Carlo
-
8.5
-
Barnett, G., Kohn, R. and Sheather, S. (1996) Estimation of an autoregressive model using Markovchain Monte Carlo. J. Econometrics, 74, 237-254. [8.5]
-
(1996)
J. Econometrics
, vol.74
, pp. 237-254
-
-
Barnett, G.1
Kohn, R.2
Sheather, S.3
-
21
-
-
0014629731
-
The combination of forecasts
-
4.3
-
Bates, J. M. and Granger, C. W. J. (1969) The combination of forecasts. Op. Res. Q., 20, 451-468. [4.3]
-
(1969)
Op. Res. Q.
, vol.20
, pp. 451-468
-
-
Bates, J.M.1
Granger, C.W.J.2
-
22
-
-
0040792999
-
Modelling time series with calendar variation
-
2.3
-
Bell, W. R. and Hillmer, S. C. (1983) Modelling time series with calendar variation. J. Amer. Statist. Assoc., 78, 526-534. [2.3]
-
(1983)
J. Amer. Statist. Assoc.
, vol.78
, pp. 526-534
-
-
Bell, W.R.1
Hillmer, S.C.2
-
23
-
-
84972520545
-
Statistical methods for data with long-range dependence
-
3.1
-
Beran, J. (1992) Statistical methods for data with long-range dependence. Statist. Sci., 7, 404-427. [3.1]
-
(1992)
Statist. Sci.
, vol.7
, pp. 404-427
-
-
Beran, J.1
-
25
-
-
33746181251
-
Likelihood and Bayesian prediction of chaotic systems
-
3.4
-
Berliner, L. M. (1991) Likelihood and Bayesian prediction of chaotic systems. J. Amer. Statist. Assoc., 86, 938-952. [3.4]
-
(1991)
J. Amer. Statist. Assoc.
, vol.86
, pp. 938-952
-
-
Berliner, L.M.1
-
27
-
-
38249036045
-
Measuring forecast uncertainty
-
7.5
-
Bianchi, C., Calzolari, G. and Brillet, J-L. (1987) Measuring forecast uncertainty. Int. J. Forecasting, 3, 211-227. [7.5]
-
(1987)
Int. J. Forecasting
, vol.3
, pp. 211-227
-
-
Bianchi, C.1
Calzolari, G.2
Brillet, J.-L.3
-
29
-
-
1542633896
-
Comparing ex-ante forecasts from a SEM and VAR model: An application to the Italian economy
-
6.4
-
Boero, G. (1990) Comparing ex-ante forecasts from a SEM and VAR model: An application to the Italian economy. J. Forecasting, 9, 13-24. [6.4]
-
(1990)
J. Forecasting
, vol.9
, pp. 13-24
-
-
Boero, G.1
-
30
-
-
34848900983
-
ARCH models in finance
-
3.4
-
Bollerslev, T., Chou, Y. and Kroner, K. F. (1992) ARCH models in finance. J. of Econometrics, 52, 5-59. [3.4]
-
(1992)
J. of Econometrics
, vol.52
, pp. 5-59
-
-
Bollerslev, T.1
Chou, Y.2
Kroner, K.F.3
-
31
-
-
70350121603
-
ARCH models. In Handbook of Econometrics, Vol. IV (eds. R. F. Engle, and D. L. McFadden), pp. 2959-3038. Amsterdam: Elsevier
-
Bollerslev, T., Engle, R. F. and Nelson, D. B. (1994) ARCH models. In Handbook of Econometrics, Vol. IV (eds. R. F. Engle, and D. L. McFadden), pp. 2959-3038. Amsterdam: Elsevier. [3.4]
-
(1994)
[3.4]
-
-
Bollerslev, T.1
Engle, R.F.2
Nelson, D.B.3
-
33
-
-
85057683825
-
-
Time Series Forecasting, 2nd edn. Boston: Duxbury Press. [1.5, 7.1, 7.5]
-
Bowerman, B. L. and O'Connell, R. T. (1987) Time Series Forecasting, 2nd edn. Boston: Duxbury Press. [1.5, 7.1, 7.5]
-
(1987)
-
-
Bowerman, B.L.1
O'Connell, R.T.2
-
35
-
-
85057690023
-
-
Time Series Analysis, Forecasting and Control, 3rd edn. Englewood Cliffs, NJ: Prentice-Hall. [1.5, 2.3, 3.1, 3.5, 4.2, 5.1–5.3, 5.6, 7.4, 7.5, 7.7, 7.8, 8.2]
-
Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1994) Time Series Analysis, Forecasting and Control, 3rd edn. Englewood Cliffs, NJ: Prentice-Hall. [1.5, 2.3, 3.1, 3.5, 4.2, 5.1–5.3, 5.6, 7.4, 7.5, 7.7, 7.8, 8.2]
-
(1994)
-
-
Box, G.E.P.1
Jenkins, G.M.2
Reinsel, G.C.3
-
36
-
-
0011281065
-
Some comments on a paper of Coen, Gomme and Kendall
-
5.1, 5.2
-
Box, G. E. P. and Newbold, P. (1971) Some comments on a paper of Coen, Gomme and Kendall. J. Roy. Statist. Soc. A, 134, 229-240. [5.1, 5.2]
-
(1971)
J. Roy. Statist. Soc. A
, vol.134
, pp. 229-240
-
-
Box, G.E.P.1
Newbold, P.2
-
37
-
-
0001587464
-
The little bootstrap and other methods for dimensionality selection in regression: X-fixed prediction error
-
8.5
-
Breiman, L. (1992) The little bootstrap and other methods for dimensionality selection in regression: X-fixed prediction error. J. Amer. Statist. Assoc., 87, 738-754. [8.5]
-
(1992)
J. Amer. Statist. Assoc.
, vol.87
, pp. 738-754
-
-
Breiman, L.1
-
39
-
-
0001154870
-
-
Volume 11, Econometrics (eds. G. S. Maddala, C. R. Rao and H. D. Vinod), pp. 195-229. Amsterdam: North-Holland. [3.4]
-
Brock, W. A. and Potter, S. M. (1993) Non-linear time series and Macroeconometrics. In Handbook of Statistics, Volume 11, Econometrics (eds. G. S. Maddala, C. R. Rao and H. D. Vinod), pp. 195-229. Amsterdam: North-Holland. [3.4]
-
(1993)
Non-Linear Time Series and Macroeconometrics. in Handbook of Statistics
-
-
Brock, W.A.1
Potter, S.M.2
-
40
-
-
85057706473
-
-
Time Series: Theory and Methods, 2nd edn. New York: Springer-Verlag. [1.5, 3.1, 7.1]
-
Brockwell, P. J. and Davis, R. A. (1991) Time Series: Theory and Methods, 2nd edn. New York: Springer-Verlag. [1.5, 3.1, 7.1]
-
(1991)
-
-
Brockwell, P.J.1
Davis, R.A.2
-
41
-
-
0003485656
-
-
New York: Springer-Verlag. [1.5, 3.1, 4.3, 6.4
-
Brockwell, P. J. and Davis, R. A. (1996) Introduction to Time Series and Forecasting. New York: Springer-Verlag. [1.5, 3.1, 4.3, 6.4]
-
(1996)
Introduction to Time Series and Forecasting
-
-
Brockwell, P.J.1
Davis, R.A.2
-
45
-
-
0642302350
-
Predictive intervals based on reuse of the sample
-
7.5
-
Butler, R. and Rothman, E. D. (1980) Predictive intervals based on reuse of the sample. J. Amer. Statist. Assoc., 75, 881-889. [7.5]
-
(1980)
J. Amer. Statist. Assoc.
, vol.75
, pp. 881-889
-
-
Butler, R.1
Rothman, E.D.2
-
47
-
-
0030527298
-
Neural network forecasting of quarterly accounting earnings
-
6.4
-
Callen, J. L., Kwan, C. C. Y., Yip, P. C. Y. and Yuan, Y. (1996) Neural network forecasting of quarterly accounting earnings. Int. J. Forecasting, 12, 475-482. [6.4]
-
(1996)
Int. J. Forecasting
, vol.12
, pp. 475-482
-
-
Callen, J.L.1
Kwan, C.C.Y.2
Yip, P.C.Y.3
Yuan, Y.4
-
48
-
-
84984483782
-
Evaluation of extrapolative forecasting methods: Results of a survey of academicians and practitioners
-
6.4
-
Carbone, R. and Armstrong, J. S. (1982) Evaluation of extrapolative forecasting methods: results of a survey of academicians and practitioners. J. of Forecasting, 1, 215-217. [6.4]
-
(1982)
J. of Forecasting
, vol.1
, pp. 215-217
-
-
Carbone, R.1
Armstrong, J.S.2
-
49
-
-
85057669063
-
Resampling techniques for stationary time series: Some recent developments. In New Directions in Time Series Analysis, Part I, (eds. D. Brillinger et al.), pp. 75-85. New York: Springer-Verlag
-
Carlstein, E. (1992) Resampling techniques for stationary time series: Some recent developments. In New Directions in Time Series Analysis, Part I, (eds. D. Brillinger et al.), pp. 75-85. New York: Springer-Verlag. [7.5]
-
(1992)
[7.5]
-
-
Carlstein, E.1
-
50
-
-
0000210367
-
A threshold model for the French Franc/Deutschmark exchange rate
-
3.4
-
Chappell, D. et al. (1996) A threshold model for the French Franc/Deutschmark exchange rate. J. Forecasting, 15, 155-164. [3.4]
-
(1996)
J. Forecasting
, vol.15
, pp. 155-164
-
-
Chappell, D.1
-
51
-
-
0001692662
-
The Holt-Winters forecasting procedure
-
6.5
-
Chatfield, C. (1978) The Holt-Winters forecasting procedure. Appl. Statist., 27, 264-279. [6.5]
-
(1978)
Appl. Statist.
, vol.27
, pp. 264-279
-
-
Chatfield, C.1
-
52
-
-
84945797974
-
What is the best method of forecasting
-
[6.0, 6.4, 6.5]
-
Chatfield, C. (1988a) What is the best method of forecasting? J. Appl. Statist., 15, 19-38. [6.0, 6.4, 6.5]
-
(1988)
? J. Appl. Statist
, vol.15
, pp. 19-38
-
-
Chatfield, C.1
-
53
-
-
38249031154
-
Apples, oranges and mean square error
-
[6.3, 6.4]
-
Chatfield, C. (1988b) Apples, oranges and mean square error. Int. J. of Forecasting, 4, 515-518. [6.3, 6.4]
-
(1988)
Int. J. of Forecasting
, vol.4
, pp. 515-518
-
-
Chatfield, C.1
-
54
-
-
21144464610
-
Calculating interval forecasts (With discussion)
-
7.1
-
Chatfield, C. (1993) Calculating interval forecasts (with discussion). J. Bus. Econ. Statist., 11, 121-144. [7.1]
-
(1993)
J. Bus. Econ. Statist.
, vol.11
, pp. 121-144
-
-
Chatfield, C.1
-
56
-
-
1942422934
-
Model uncertainty, data mining and statistical inference
-
(with discussion), [3.5, 8.2–8.5
-
Chatfield, C. (1995b) Model uncertainty, data mining and statistical inference (with discussion). J. Roy. Statist. Soc. A, 158, 419-466. [3.5, 8.2–8.5]
-
(1995)
J. Roy. Statist. Soc. A
, vol.158
, pp. 419-466
-
-
Chatfield, C.1
-
57
-
-
0001257882
-
Positive or negative?
-
[6.4]
-
Chatfield, C. (1995c) Positive or negative? Int. J. of Forecasting, 11, 501-502. [6.4]
-
(1995)
Int. J. of Forecasting
, vol.11
, pp. 501-502
-
-
Chatfield, C.1
-
58
-
-
0003406396
-
-
Chapman and Hall. [1.5, 2.3, 3.2, 3.4, 4.2, 4.3, 5.2, 6.0, 6.5, 7.1]
-
Chatfield, C. (1996a) The Analysis of Time Series, 5th edn. London: Chapman and Hall. [1.5, 2.3, 3.2, 3.4, 4.2, 4.3, 5.2, 6.0, 6.5, 7.1]
-
(1996)
The Analysis of Time Series, 5Th Edn. London
-
-
Chatfield, C.1
-
59
-
-
0001057463
-
Model uncertainty and forecast accuracy
-
[7.1, 7.7, 8.3]
-
Chatfield, C. (1996b) Model uncertainty and forecast accuracy. J. Forecasting, 15, 495-508. [7.1, 7.7, 8.3]
-
(1996)
J. Forecasting
, vol.15
, pp. 495-508
-
-
Chatfield, C.1
-
60
-
-
0347137529
-
Forecasting in the 1990s
-
1.5, 6.0
-
Chatfield, C. (1997) Forecasting in the 1990s. The Statistician, 46, 461-473. [1.5, 6.0]
-
(1997)
The Statistician
, vol.46
, pp. 461-473
-
-
Chatfield, C.1
-
62
-
-
0040935055
-
Forecasting sales data with neural nets: A case study (in French)
-
8.3
-
Chatfield, C. and Faraway, J. (1996) Forecasting sales data with neural nets: A case study (in French). Recherche et Applications en Marketing, 11, 29-41. [8.3]
-
(1996)
Recherche Et Applications En Marketing
, vol.11
, pp. 29-41
-
-
Chatfield, C.1
Faraway, J.2
-
63
-
-
33745942546
-
On confusing lead time demand with h-period-ahead forecasts
-
7.5
-
Chatfield, C. and Koehler, A. B. (1991) On confusing lead time demand with h-period-ahead forecasts. Int. J. Forecasting, 7, 239-240. [7.5]
-
(1991)
Int. J. Forecasting
, vol.7
, pp. 239-240
-
-
Chatfield, C.1
Koehler, A.B.2
-
64
-
-
85057656595
-
-
To appear. [4.3
-
Chatfield, C., Koehler, A. B., Ord, J. K. and Snyder, R. D. (2001) Models for exponential smoothing: A review of recent developments. The Statistician, 50. To appear. [4.3]
-
(2001)
Models for Exponential Smoothing: A Review of Recent Developments. the Statistician
, pp. 50
-
-
Chatfield, C.1
Koehler, A.B.2
Ord, J.K.3
Snyder, R.D.4
-
65
-
-
0001107753
-
Box-Jenkins seasonal forecasting: Problems in a case study (with discussion)
-
7.5
-
Chatfield, C. and Prothero, D. L. (1973) Box-Jenkins seasonal forecasting: Problems in a case study (with discussion). J. Roy. Statist. Soc. A, 136, 295-352. [7.5]
-
(1973)
J. Roy. Statist. Soc. A
, vol.136
, pp. 295-352
-
-
Chatfield, C.1
Prothero, D.L.2
-
66
-
-
0000557133
-
Holt-Winters forecasting: Some practical issues
-
4.3, 6.5
-
Chatfield, C. and Yar, M. (1988) Holt-Winters forecasting: Some practical issues. The Statistician, 37, 129-140. [4.3, 6.5]
-
(1988)
The Statistician
, vol.37
, pp. 129-140
-
-
Chatfield, C.1
Yar, M.2
-
67
-
-
0002513812
-
Prediction intervals for multiplicative Holt-Winters
-
7.5, 7.7
-
Chatfield, C. and Yar, M. (1991) Prediction intervals for multiplicative Holt-Winters. Int. J. Forecasting, 7, 31-37. [7.5, 7.7]
-
(1991)
Int. J. Forecasting
, vol.7
, pp. 31-37
-
-
Chatfield, C.1
Yar, M.2
-
68
-
-
0003108131
-
Forecasting time series with outliers
-
2.3
-
Chen, C. and Liu, L-M. (1993) Forecasting time series with outliers. J. Forecasting, 12, 13-35. [2.3]
-
(1993)
J. Forecasting
, vol.12
, pp. 13-35
-
-
Chen, C.1
Liu, L.-M.2
-
69
-
-
0031165381
-
Robustness properties of some forecasting methods for seasonal time series: A Monte Carlo study
-
6.4, 8.5
-
Chen, C. (1997) Robustness properties of some forecasting methods for seasonal time series: A Monte Carlo study. Int. J. Forecasting, 13, 269-280. [6.4, 8.5]
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 269-280
-
-
Chen, C.1
-
70
-
-
85057686770
-
ARMA Model Identification
-
Choi, B. (1992) ARMA Model Identification.NewYork: Springer-Verlag. [3.5]
-
(1992)
Newyork: Springer-Verlag.
, vol.3
, Issue.5
-
-
Choi, B.1
-
71
-
-
0033484633
-
Understanding time-series regression estimators
-
5.2
-
Choudhury, A. H., Hubata, R. and Louis, R. D. St. (1999) Understanding time-series regression estimators. Amer. Statist., 53, 342-348. [5.2]
-
(1999)
Amer. Statist.
, vol.53
, pp. 342-348
-
-
Choudhury, A.H.1
Hubata, R.2
Louis, R.D.S.3
-
72
-
-
0042745956
-
Evaluating interval forecasts
-
7.7
-
Christofferson, P. F. (1998) Evaluating interval forecasts. Int. Economic Review, 39, 841-862. [7.7]
-
(1998)
Int. Economic Review
, vol.39
, pp. 841-862
-
-
Christofferson, P.F.1
-
73
-
-
0032338870
-
Cointegration and long-horizon forecasting
-
5.4, 6.3
-
Christoffersen, P. F. and Diebold, F. X. (1998) Cointegration and long-horizon forecasting. J. Bus. Econ. Statist., 16, 450-8. [5.4, 6.3]
-
(1998)
J. Bus. Econ. Statist.
, vol.16
, pp. 450-458
-
-
Christoffersen, P.F.1
Diebold, F.X.2
-
74
-
-
0030170789
-
Forecasting consumers' expenditure: A comparison between econometric and neural network models
-
6.4
-
Church, K. B. and Curram, S. P. (1996) Forecasting consumers' expenditure: A comparison between econometric and neural network models. Int. J. Forecasting, 12, 255-267. [6.4]
-
(1996)
Int. J. Forecasting
, vol.12
, pp. 255-267
-
-
Church, K.B.1
Curram, S.P.2
-
75
-
-
45249128876
-
Combining forecasts: A review and annotated bibliography
-
4.3, 7.5, 8.5
-
Clemen, R. T. (1989) Combining forecasts: A review and annotated bibliography. Int. J. Forecasting, 5, 559-583. [4.3, 7.5, 8.5]
-
(1989)
Int. J. Forecasting
, vol.5
, pp. 559-583
-
-
Clemen, R.T.1
-
76
-
-
0003361842
-
-
Time Series Models (eds. D. R. Cox, D. V. Hinkley and O. E. Barndorff-Nielsen), pp., London: Chapman and Hall. [5.5]
-
Clements, M.P. and Hendry, D.F. (1996) Forecasting in macro-economics. In Time Series Models (eds. D. R. Cox, D. V. Hinkley and O. E. Barndorff-Nielsen), pp. 101-141. London: Chapman and Hall. [5.5]
-
(1996)
Forecasting in Macro-Economics
-
-
Clements, M.P.1
Hendry, D.F.2
-
77
-
-
85057691081
-
-
Forecasting Economic Time Series. Cambridge: Cambridge Univ. Press. [4.3, 5.2, 5.4, 6.3, 8.1, 8.4, 8.5]
-
Clements, M. P. and Hendry, D. F. (1998a) Forecasting Economic Time Series. Cambridge: Cambridge Univ. Press. [4.3, 5.2, 5.4, 6.3, 8.1, 8.4, 8.5]
-
(1998)
-
-
Clements, M.P.1
Hendry, D.F.2
-
78
-
-
0007087843
-
-
Forecasting economic processes (with discussion). Int. J. Forecasting, 14, 111-143. [7.7, 8.5]
-
Clements, M.P. and Hendry, D. F. (1998b) Forecasting economic processes (with discussion). Int. J. Forecasting, 14, 111-143. [7.7, 8.5]
-
(1998)
-
-
Clements, M.P.1
Hendry, D.F.2
-
79
-
-
0002596525
-
A comparison of the forecast performance of Markov-switching and threshold autoregressive models of U.S. GNP
-
3.4, 6.4
-
Clements, M. P. and Krolzig, H-M. (1998) A comparison of the forecast performance of Markov-switching and threshold autoregressive models of U.S. GNP. Econometrics J., 1, C47-C75. [3.4, 6.4]
-
(1998)
Econometrics J
, vol.1
, pp. C47-C75
-
-
Clements, M.P.1
Krolzig, H.-M.2
-
80
-
-
0031498328
-
The performance of alternative forecasting methods for SETAR models
-
3.4, 4.2, 6.4
-
Clements, M. P. and Smith, J. (1997) The performance of alternative forecasting methods for SETAR models. Int. J. Forecasting, 13, 463-475. [3.4, 4.2, 6.4]
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 463-475
-
-
Clements, M.P.1
Smith, J.2
-
81
-
-
0000733692
-
Prediction techniques for Box-Cox regression models
-
7.5
-
Collins, S. (1991) Prediction techniques for Box-Cox regression models. J. Bus. Econ. Statist., 9, 267-277. [7.5]
-
(1991)
J. Bus. Econ. Statist.
, vol.9
, pp. 267-277
-
-
Collins, S.1
-
82
-
-
0000167087
-
Rule-based forecasting: Development and validation of an expert systems approach to combining time series extrapolations
-
6.5
-
Collopy, F. and Armstrong, J. S. (1992) Rule-based forecasting: Development and validation of an expert systems approach to combining time series extrapolations. Man. Sci., 38, 1394-1414. [6.5]
-
(1992)
Man. Sci.
, vol.38
, pp. 1394-1414
-
-
Collopy, F.1
Armstrong, J.S.2
-
83
-
-
0001573594
-
Regression, prediction and shrinkage (With discussion)
-
8.4
-
Copas, J. B. (1983) Regression, prediction and shrinkage (with discussion). J. Roy. Statist. Soc. B, 45, 311-354. [8.4]
-
(1983)
J. Roy. Statist. Soc. B
, vol.45
, pp. 311-354
-
-
Copas, J.B.1
-
84
-
-
46149137618
-
Uncertainty and forecast precision
-
7.5
-
Corker, R. J., Holly, S. and Ellis, R. G. (1986) Uncertainty and forecast precision. Int. J. Forecasting, 2, 53-69.[7.5]
-
(1986)
Int. J. Forecasting
, vol.2
, pp. 53-69
-
-
Corker, R.J.1
Holly, S.2
Ellis, R.G.3
-
85
-
-
0000890412
-
Model selection and forecasting for long-range dependent processes
-
3.1, 6.4
-
Crato, N. and Ray, B. K. (1996) Model selection and forecasting for long-range dependent processes. J. Forecasting, 15, 107-125. [3.1, 6.4]
-
(1996)
J. Forecasting
, vol.15
, pp. 107-125
-
-
Crato, N.1
Ray, B.K.2
-
86
-
-
0002354520
-
Why do regime-switching models forecast so badly?
-
3.4
-
Dacco, R. and Satchell, S. (1999) Why do regime-switching models forecast so badly? J. Forecasting, 18, 1-16. [3.4]
-
(1999)
J. Forecasting
, vol.18
, pp. 1-16
-
-
Dacco, R.1
Satchell, S.2
-
87
-
-
0001349066
-
Sales forecasting practices: Results from a United States survey
-
7.1
-
Dalrymple, D. J. (1987) Sales forecasting practices: Results from a United States survey. Int. J. Forecasting, 3, 379-391. [7.1]
-
(1987)
Int. J. Forecasting
, vol.3
, pp. 379-391
-
-
Dalrymple, D.J.1
-
88
-
-
38249008308
-
Top-down or bottom-up: Aggregate versus disaggregate extrapolations
-
2.1
-
Dangerfield, B. J. and Morris, J. S. (1992) Top-down or bottom-up: Aggregate versus disaggregate extrapolations. Int. J. Forecasting, 8, 233-241. [2.1]
-
(1992)
Int. J. Forecasting
, vol.8
, pp. 233-241
-
-
Dangerfield, B.J.1
Morris, J.S.2
-
89
-
-
14344270906
-
Forecasting with misspecified models
-
8.5
-
Davies, N. and Newbold, P. (1980) Forecasting with misspecified models. Applied Statistics, 29, 87-92. [8.5]
-
(1980)
Applied Statistics
, vol.29
, pp. 87-92
-
-
Davies, N.1
Newbold, P.2
-
90
-
-
85057683841
-
Unit roots in U.S. macroeconomic time series: A survey of classical and Bayesian perspectives. In New Directions in Time Series Analysis: Part II (eds. D. Brillinger et al.), pp. 43-59. New York: Springer-Verlag
-
DeJong, D. N. and Whiteman, C. H. (1993) Unit roots in U.S. macroeconomic time series: A survey of classical and Bayesian perspectives. In New Directions in Time Series Analysis: Part II (eds. D. Brillinger et al.), pp. 43-59. New York: Springer-Verlag. [3.1]
-
(1993)
[3.1]
-
-
Dejong, D.N.1
Whiteman, C.H.2
-
91
-
-
85057691662
-
Time Series, Unit Roots and Cointegration
-
Dhrymes, P. (1997) Time Series, Unit Roots and Cointegration. San Diego: Academic Press. [5.4]
-
(1997)
San Diego: Academic Press.
, vol.5
, Issue.4
-
-
Dhrymes, P.1
-
92
-
-
0004018816
-
-
Cincinnati: South-Western College Publishing. [1.5, 2.3, 3.1, 4.3
-
Diebold, F. X. (1998) Elements of Forecasting. Cincinnati: South-Western College Publishing. [1.5, 2.3, 3.1, 4.3]
-
(1998)
Elements of Forecasting
-
-
Diebold, F.X.1
-
93
-
-
0034373722
-
Unit root tests are useful for selecting forecasting models
-
3.1
-
Diebold, F. X. and Kilian, L. (2000) Unit root tests are useful for selecting forecasting models. J. Bus. Econ. Statist., 18, 265-273. [3.1]
-
(2000)
J. Bus. Econ. Statist.
, vol.18
, pp. 265-273
-
-
Diebold, F.X.1
Kilian, L.2
-
95
-
-
0002276308
-
Assessment and propagation of model uncertainty (With discussion)
-
7.5, 8.4, 8.5
-
Draper, D. (1995) Assessment and propagation of model uncertainty (with discussion). J. Roy. Statist. Soc. B, 57, 45-97. [7.5, 8.4, 8.5]
-
(1995)
J. Roy. Statist. Soc. B
, vol.57
, pp. 45-97
-
-
Draper, D.1
-
98
-
-
45949119851
-
Forecasting and testing in co-integrated systems
-
7.8
-
Engle, R. F. and Yoo, B. S. (1987) Forecasting and testing in co-integrated systems. J. Econometrics, 35, 143-159. [7.8]
-
(1987)
J. Econometrics
, vol.35
, pp. 143-159
-
-
Engle, R.F.1
Yoo, B.S.2
-
99
-
-
0011515522
-
Estimating the expected predictive accuracy of econometric models
-
7.5
-
Fair, R. C. (1980) Estimating the expected predictive accuracy of econometric models. Int. Econ. Review, 21, 355-378. [7.5]
-
(1980)
Int. Econ. Review
, vol.21
, pp. 355-378
-
-
Fair, R.C.1
-
101
-
-
0003072944
-
Data splitting strategies for reducing the effect of model selection on inference
-
8.5
-
Faraway, J. (1998) Data splitting strategies for reducing the effect of model selection on inference. Comp. Science and Stats., 30, 332-341. [8.5]
-
(1998)
Comp. Science and Stats.
, vol.30
, pp. 332-341
-
-
Faraway, J.1
-
102
-
-
0039988139
-
Time series forecasting with neural networks: A comparative study using the airline data
-
3.4, 3.5, 6.4, 8.3
-
Faraway, J. and Chatfield, C. (1998) Time series forecasting with neural networks: A comparative study using the airline data. Appl. Statist., 47, 231-250. [3.4, 3.5, 6.4, 8.3]
-
(1998)
Appl. Statist.
, vol.47
, pp. 231-250
-
-
Faraway, J.1
Chatfield, C.2
-
104
-
-
84984526135
-
An evaluation of Bayesian forecasting
-
6.4
-
Fildes, R. (1983) An evaluation of Bayesian forecasting. J. Forecasting, 2, 137-150. [6.4]
-
(1983)
J. Forecasting
, vol.2
, pp. 137-150
-
-
Fildes, R.1
-
105
-
-
0022099936
-
Quantitative forecasting: The state of the art. Econometric models
-
6.4
-
Fildes, R. (1985) Quantitative forecasting: The state of the art. Econometric models. J. Op. Res. Soc., 36, 549-580. [6.4]
-
(1985)
J. Op. Res. Soc.
, vol.36
, pp. 549-580
-
-
Fildes, R.1
-
106
-
-
0002847043
-
The evaluation of extrapolative forecasting methods
-
6.3, 6.5
-
Fildes, R. (1992) The evaluation of extrapolative forecasting methods. Int. J. Forecasting, 8, 81-98. [6.3, 6.5]
-
(1992)
Int. J. Forecasting
, vol.8
, pp. 81-98
-
-
Fildes, R.1
-
107
-
-
21844526168
-
The impact of empirical accuracy studies on time series analysis and forecasting
-
6.4, 7.7, 8.3, 8.5
-
Fildes, R. and Makridakis, S. (1995) The impact of empirical accuracy studies on time series analysis and forecasting. Int. Statist. Review, 63, 289-308. [6.4, 7.7, 8.3, 8.5]
-
(1995)
Int. Statist. Review
, vol.63
, pp. 289-308
-
-
Fildes, R.1
Makridakis, S.2
-
108
-
-
0007106060
-
-
Computer Science and Statistics: 17th Symposium on the Interface (ed. D.M. Allen), Amsterdam: North-Holland. [7.4, 7.5]
-
Findley, D. F. (1986) On bootstrap estimates of forecast mean square errors for autoregressive processes, In Computer Science and Statistics: 17th Symposium on the Interface (ed. D.M. Allen), pp. 11-17. Amsterdam: North-Holland. [7.4, 7.5]
-
(1986)
On Bootstrap Estimates of Forecast Mean Square Errors for Autoregressive Processes
, pp. 11-17
-
-
Findley, D.F.1
-
109
-
-
0000293881
-
New capabilities and methods of the X-12-ARIMA seasonal adjustment program (With discussion and reply)
-
2.3
-
Findley, D. F., Monsell, B. C., Bell, W. R., Otto, M. C. and Chen, B-C. (1998) New capabilities and methods of the X-12-ARIMA seasonal adjustment program (with discussion and reply). J. Bus. Econ. Statist., 16, 127-177. [2.3]
-
(1998)
J. Bus. Econ. Statist.
, vol.16
, pp. 127-177
-
-
Findley, D.F.1
Monsell, B.C.2
Bell, W.R.3
Otto, M.C.4
Chen, B.-C.5
-
112
-
-
0030167129
-
Unit roots in the Nelson-Plosser data: Do they matter for forecasting?
-
2.3, 3.1
-
Franses, P. H. and Kleibergen, F. (1996) Unit roots in the Nelson-Plosser data: Do they matter for forecasting? Int. J. Forecasting, 12, 283-288. [2.3, 3.1]
-
(1996)
Int. J. Forecasting
, vol.12
, pp. 283-288
-
-
Franses, P.H.1
Kleibergen, F.2
-
113
-
-
0031093888
-
A periodic long-memory model for quarterly UK inflation
-
6.4
-
Franses, P. H. and Ooms, M. (1997) A periodic long-memory model for quarterly UK inflation. Int. J. Forecasting, 13, 117-126. [6.4]
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 117-126
-
-
Franses, P.H.1
Ooms, M.2
-
114
-
-
84950447423
-
Bootstrapping a regression equation: Some empirical results
-
Freedman, D. A. and Peters, S. C. (1984a) Bootstrapping a regression equation: Some empirical results. J. Amer. Statist. Assoc., 79, 97-106. [7.5]
-
(1984)
J. Amer. Statist. Assoc
, vol.79
, pp. 97-106
-
-
Freedman, D.A.1
Peters, S.C.2
-
115
-
-
84924004198
-
Bootstrapping an econometric model: Some empirical results
-
Freedman, D. A. and Peters, S. C. (1984b) Bootstrapping an econometric model: Some empirical results. J. Bus. Econ. Statist., 2, 150-158. [7.5]
-
(1984)
J. Bus. Econ. Statist
, vol.2
, pp. 150-158
-
-
Freedman, D.A.1
Peters, S.C.2
-
116
-
-
85057673036
-
Introduction to Statistical Time Series, 2nd edn
-
Fuller, W. A. (1996) Introduction to Statistical Time Series, 2nd edn. New York: Wiley. [1.5]
-
(1996)
New York: Wiley.
, vol.1
, Issue.5
-
-
Fuller, W.A.1
-
117
-
-
84908817300
-
Properties of predictors for autoregressive time series
-
7.4
-
Fuller, W. A. and Hasza, D. P. (1981) Properties of predictors for autoregressive time series. J. Amer. Statist. Assoc., 76, 155-161. [7.4]
-
(1981)
J. Amer. Statist. Assoc.
, vol.76
, pp. 155-161
-
-
Fuller, W.A.1
Hasza, D.P.2
-
118
-
-
84984420155
-
Automatic monitoring of forecast errors
-
Gardner, E. S. Jr. (1983) Automatic monitoring of forecast errors. J. Forecasting, 2, 1-21. [3.5, 7.7]
-
(1983)
J. Forecasting
, vol.1-21
, pp. 2
-
-
Gardner, E.S.1
-
119
-
-
84984477151
-
Exponential smoothing: The state of the art
-
Gardner, E. S. Jr. (1985) Exponential smoothing: The state of the art. J. Forecasting, 4, 1-28. [4.3]
-
(1985)
J. Forecasting
, vol.1-28
, pp. 4
-
-
Gardner, E.S.1
-
120
-
-
85057691380
-
A simple method of computing prediction intervals for time-series forecasts. Man
-
Gardner, E. S. Jr. (1988) A simple method of computing prediction intervals for time-series forecasts. Man. Sci., 34, 541-546. [7.7]
-
(1988)
Sci.
, vol.541-546
, pp. 34
-
-
Gardner, E.S.1
-
121
-
-
85057700175
-
Forecasting trends in time series. Man
-
Gardner, E. S. Jr. and McKenzie, E. (1985) Forecasting trends in time series. Man. Sci., 31, 1237-46. [4.3]
-
(1985)
Sci.
, vol.1237-46
, pp. 31
-
-
Gardner, E.S.1
McKenzie, E.2
-
123
-
-
38248999627
-
Economic evaluation of commodity price forecasting models
-
6.3
-
Gerlow, M. E., Irwin, S. H. and Liu, T-R. (1993) Economic evaluation of commodity price forecasting models. Int. J. Forecasting, 9, 387-397. [6.3]
-
(1993)
Int. J. Forecasting
, vol.9
, pp. 387-397
-
-
Gerlow, M.E.1
Irwin, S.H.2
Liu, T.-R.3
-
124
-
-
0000157472
-
The prediction of time series with trends and seasonalities
-
8.5
-
Gersch, W. and Kitagawa, G. (1983) The prediction of time series with trends and seasonalities. J. Bus. Econ. Statist., 1, 253-264. [8.5]
-
(1983)
J. Bus. Econ. Statist.
, vol.1
, pp. 253-264
-
-
Gersch, W.1
Kitagawa, G.2
-
125
-
-
0030560209
-
Is seasonal adjustment a linear or nonlinear data-filtering process? (with discussion)
-
2.3
-
Ghysels, E., Granger, C. W. J. and Siklos, P. L. (1996) Is seasonal adjustment a linear or nonlinear data-filtering process? (with discussion). J. Bus. Econ. Statist., 14, 374-386. [2.3]
-
(1996)
J. Bus. Econ. Statist.
, vol.14
, pp. 374-386
-
-
Ghysels, E.1
Granger, C.W.J.2
Siklos, P.L.3
-
128
-
-
85057702463
-
Seasonal adjustment and signal extraction in economic time series. In A Course in Time Series Analysis (eds. D. Pena, G. C. Tiao and R. S. Tsay), Chapter 8. New York: Wiley
-
Gomez, V. and Maravall, A. (2000) Seasonal adjustment and signal extraction in economic time series. In A Course in Time Series Analysis (eds. D. Pena, G. C. Tiao and R. S. Tsay), Chapter 8. New York: Wiley. [2.3]
-
(2000)
[2.3]
-
-
Gomez, V.1
Maravall, A.2
-
129
-
-
0000139348
-
Methods for determining the order of an autoregressive-moving average process: A survey
-
3.5
-
Gooijer, J. G. de, Abraham, B., Gould, A. and Robinson, L. (1985). Methods for determining the order of an autoregressive-moving average process: A survey. Int. Statist. Rev., 53, 301-329.[3.5]
-
(1985)
Int. Statist. Rev.
, vol.53
, pp. 301-329
-
-
Gooijer, J.G.1
Abraham, B.2
Gould, A.3
Robinson, L.4
-
130
-
-
0031232304
-
Forecasting and seasonality
-
2.3
-
Gooijer, J. G. de and Franses, P. H. (1997) Forecasting and seasonality. Int. J. Forecasting, 13, 303-305. [2.3]
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 303-305
-
-
Gooijer, J.G.1
Franses, P.H.2
-
131
-
-
38249010382
-
Some recent developments in nonlinear time series modelling, testing and forecasting
-
6.4
-
Gooijer, J. G. de and Kumar, K. (1992) Some recent developments in nonlinear time series modelling, testing and forecasting. Int. J. Forecasting, 8, 135-156. [6.4]
-
(1992)
Int. J. Forecasting
, vol.8
, pp. 135-156
-
-
Gooijer, J.G.1
Kumar, K.2
-
133
-
-
84984516669
-
Combining forecasts – twenty years later
-
4.3
-
Granger, C. W. J. (1989) Combining forecasts – twenty years later. J. Forecasting, 8, 167-173. [4.3]
-
(1989)
J. Forecasting
, vol.8
, pp. 167-173
-
-
Granger, C.W.J.1
-
134
-
-
38249013419
-
Forecasting stock market prices: Lessons for forecasters
-
3.4
-
Granger, C. W. J. (1992) Forecasting stock market prices: Lessons for forecasters. Int. J. Forecasting, 8, 3-13. [3.4]
-
(1992)
Int. J. Forecasting
, vol.8
, pp. 3-13
-
-
Granger, C.W.J.1
-
135
-
-
0039197827
-
Can we improve the perceived quality of economic forecasts?
-
7.7
-
Granger, C. W. J. (1996) Can we improve the perceived quality of economic forecasts? J. Appl. Econometrics, 11, 455-473. [7.7]
-
(1996)
J. Appl. Econometrics
, vol.11
, pp. 455-473
-
-
Granger, C.W.J.1
-
138
-
-
84986792205
-
An introduction to long-range time series models and fractional differencing
-
3.1
-
Granger, C. W. J. and Joyeux, R. (1980) An introduction to long-range time series models and fractional differencing. J. Time Series Analysis, 1, 15-30. [3.1]
-
(1980)
J. Time Series Analysis
, vol.1
, pp. 15-30
-
-
Granger, C.W.J.1
Joyeux, R.2
-
139
-
-
0000600527
-
Comments on testing economic theories and the use of model selection criteria
-
3.5
-
Granger, C. W. J., King, M. L. and White, H. (1995) Comments on testing economic theories and the use of model selection criteria. J. Econometrics, 67, 173-187. [3.5]
-
(1995)
J. Econometrics
, vol.67
, pp. 173-187
-
-
Granger, C.W.J.1
King, M.L.2
White, H.3
-
140
-
-
33748065484
-
Spurious regressions in econometrics
-
5.2
-
Granger, C. W. J. and Newbold, P. (1974) Spurious regressions in econometrics. J. Econometrics, 2, 111-120. [5.2]
-
(1974)
J. Econometrics
, vol.2
, pp. 111-120
-
-
Granger, C.W.J.1
Newbold, P.2
-
141
-
-
0003664106
-
-
2nd edn. New York: Academic Press. [1.5, 3.4, 4.3, 5.1, 5.2, 5.5, 6.2, 7.1, 7.4, 7.5]
-
Granger, C. W. J. and Newbold, P. (1986) Forecasting Economic Time Series, 2nd edn. New York: Academic Press. [1.5, 3.4, 4.3, 5.1, 5.2, 5.5, 6.2, 7.1, 7.4, 7.5]
-
(1986)
) Forecasting Economic Time Series
-
-
Granger, C.W.J.1
Newbold, P.2
-
143
-
-
0007143746
-
Bootstrap prediction intervals for autoregressions: Some alternatives
-
7.5
-
Grigoletto, M. (1998) Bootstrap prediction intervals for autoregressions: some alternatives. Int. J. Forecasting, 14, 447-456. [7.5]
-
(1998)
Int. J. Forecasting
, vol.14
, pp. 447-456
-
-
Grigoletto, M.1
-
144
-
-
0026261936
-
Analysis of univariate time series with connectionist nets: A case study of two classical examples
-
3.4
-
Groot, C. de and Würtz, D. (1991) Analysis of univariate time series with connectionist nets: A case study of two classical examples. Neurocomputing, 3, 177-192. [3.4]
-
(1991)
Neurocomputing
, vol.3
, pp. 177-192
-
-
Groot, C.1
Würtz, D.2
-
146
-
-
0003410290
-
-
Princeton, NJ: Princeton Univ. Press. [1.5, 3.1, 3.4, 4.1, 5.2, 5.4]
-
Hamilton, J. D. (1994) Time Series Analysis. Princeton, NJ: Princeton Univ. Press. [1.5, 3.1, 3.4, 4.1, 5.2, 5.4]
-
(1994)
Time Series Analysis
-
-
Hamilton, J.D.1
-
147
-
-
0010177004
-
Short-term sales forecasting
-
4.3
-
Harrison, P. J. (1965) Short-term sales forecasting. Appl. Statist., 14, 102-139. [4.3]
-
(1965)
Appl. Statist.
, vol.14
, pp. 102-139
-
-
Harrison, P.J.1
-
148
-
-
0010929712
-
Exponential smoothing and short-term sales forecasting
-
7.5
-
Harrison, P. J. (1967) Exponential smoothing and short-term sales forecasting. Man. Sci., 13, 821-842. [7.5]
-
(1967)
Man. Sci.
, vol.13
, pp. 821-842
-
-
Harrison, P.J.1
-
149
-
-
1542578196
-
Forecasting
-
Cambridge: Cambridge Univ. Press. [1.5, 3.2, 5.6, 6.4, 7.1, 7.5
-
Harvey, A. C. (1989) Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge: Cambridge Univ. Press. [1.5, 3.2, 5.6, 6.4, 7.1, 7.5]
-
(1989)
Structural Time Series Models and the Kalman Filter
-
-
Harvey, A.C.1
-
151
-
-
0004168026
-
-
2nd edn. New York: Harvester Wheatsheaf. [1.5, 3.1, 3.4, 4.2, 4.4]
-
Harvey, A. C. (1993) Time Series Models, 2nd edn. New York: Harvester Wheatsheaf. [1.5, 3.1, 3.4, 4.2, 4.4]
-
(1993)
Time Series Models
-
-
Harvey, A.C.1
-
152
-
-
0346507098
-
On the sample variogram and the sample autocovariance for non-stationary time series
-
3.5
-
Haslett, J. (1997) On the sample variogram and the sample autocovariance for non-stationary time series. The Statistician, 46, 475-485. [3.5]
-
(1997)
The Statistician
, vol.46
, pp. 475-485
-
-
Haslett, J.1
-
153
-
-
0347568294
-
Fitting time series models by minimizing multistep-ahead errors: A frequency domain approach
-
8.5
-
Haywood, J. and Tunnicliffe Wilson, G. (1997) Fitting time series models by minimizing multistep-ahead errors: a frequency domain approach. J. Roy. Statist. Soc. B, 59, 237-254. [8.5]
-
(1997)
J. Roy. Statist. Soc. B
, vol.59
, pp. 237-254
-
-
Haywood, J.1
Tunnicliffe Wilson, G.2
-
154
-
-
85057698422
-
The M3-Competition. Paper presented to the 19th Int. Symposium on Forecasting, Washington, D.C
-
Hibon, M. and Makridakis, S. (1999) The M3-Competition. Paper presented to the 19th Int. Symposium on Forecasting, Washington, D.C. [6.4]
-
(1999)
[6.4]
-
-
Hibon, M.1
Makridakis, S.2
-
155
-
-
0002821764
-
Artificial neural network models for forecasting and decision making
-
6.4
-
Hill, T., Marquez, L., O'Connor, M. and Remus, W. (1994) Artificial neural network models for forecasting and decision making. Int. J. Forecasting, 10, 5-15. [6.4]
-
(1994)
Int. J. Forecasting
, vol.10
, pp. 5-15
-
-
Hill, T.1
Marquez, L.2
O'Connor, M.3
Remus, W.4
-
156
-
-
0000860595
-
Neural network models for time series forecasts
-
6.4
-
Hill, T., O'Connor, M. and Remus, W. (1996) Neural network models for time series forecasts. Man. Sci., 42, 1082-1092. [6.4]
-
(1996)
Man. Sci.
, vol.42
, pp. 1082-1092
-
-
Hill, T.1
O'Connor, M.2
Remus, W.3
-
157
-
-
24944442004
-
-
Technical report no. LiTH-MAT-R-87-08, Linköping University, Sweden. [8.3, 8.4]
-
Hjorth, U. (1987) On model selection in the computer age. Technical report no. LiTH-MAT-R-87-08, Linköping University, Sweden. [8.3, 8.4]
-
(1987)
On Model Selection in the Computer Age
-
-
Hjorth, U.1
-
159
-
-
0001935613
-
The principles and practice of time series forecasting and business modelling using neural nets
-
6.4
-
Hoptroff, R. (1993) The principles and practice of time series forecasting and business modelling using neural nets. Neur. Comput. Applic., 1, 59-66. [6.4]
-
(1993)
Neur. Comput. Applic.
, vol.1
, pp. 59-66
-
-
Hoptroff, R.1
-
160
-
-
0004100674
-
-
Hylleberg, S. (ed.), Oxford: Oxford Univ. Press. [2.3
-
Hylleberg, S. (ed.) (1992) Modelling Seasonality. Oxford: Oxford Univ. Press. [2.3]
-
(1992)
Modelling Seasonality
-
-
-
161
-
-
84979347114
-
Highest density forecast regions for non-linear and non-normal time series models
-
7.1, 7.5
-
Hyndman, R. J. (1995) Highest density forecast regions for non-linear and non-normal time series models. J. Forecasting, 14, 431-441. [7.1, 7.5]
-
(1995)
J. Forecasting
, vol.14
, pp. 431-441
-
-
Hyndman, R.J.1
-
162
-
-
0001974770
-
Statistical aspects of chaos. In Networks and Chaos-Statistical and Probabilistic Aspects (eds. O. E. Barndorff-Nielsen et al.), pp. 124-200. London: Chapman and Hall
-
Isham, V. (1993) Statistical aspects of chaos. In Networks and Chaos-Statistical and Probabilistic Aspects (eds. O. E. Barndorff-Nielsen et al.), pp. 124-200. London: Chapman and Hall. [3.4]
-
(1993)
[3.4]
-
-
Isham, V.1
-
163
-
-
0003736432
-
-
Applications. Chichester, U.K.: Ellis Horwood. [1.5, 3.2, 4.2]
-
Janacek, G. and Swift, L. (1993) Time Series: Forecasting, Simulation, Applications. Chichester, U.K.: Ellis Horwood. [1.5, 3.2, 4.2]
-
(1993)
Time Series: Forecasting, Simulation
-
-
Janacek, G.1
Swift, L.2
-
164
-
-
9644263551
-
Contribution to the discussion of Newbold and Granger (1974)
-
4.4
-
Jenkins, G. M. (1974) Contribution to the discussion of Newbold and Granger (1974). J. Roy. Statist. Soc A, 137, 148-150. [4.4]
-
(1974)
J. Roy. Statist. Soc A
, vol.137
, pp. 148-150
-
-
Jenkins, G.M.1
-
166
-
-
85057687643
-
Case Studies in Time Series Analysis, Vol. 1. Lancaster: Gwilym Jenkins and Partners Ltd
-
Jenkins, G. M. and McLeod, G. (1982) Case Studies in Time Series Analysis, Vol. 1. Lancaster: Gwilym Jenkins and Partners Ltd. [6.4]
-
(1982)
[6.4]
-
-
Jenkins, G.M.1
McLeod, G.2
-
167
-
-
85057654784
-
Likelihood-based inference for cointegration of some nonstationary time series. In Time Series Models (eds. D. R. Cox, D. V. Hinkley and O. E. Barndorff-Nielsen), pp. 71-100. London: Chapman and Hall
-
Johansen, S. (1996) Likelihood-based inference for cointegration of some nonstationary time series. In Time Series Models (eds. D. R. Cox, D. V. Hinkley and O. E. Barndorff-Nielsen), pp. 71-100. London: Chapman and Hall. [5.4]
-
(1996)
[5.4]
-
-
Johansen, S.1
-
168
-
-
0022676196
-
The variance of lead-time demand
-
7.5
-
Johnston, F. R. and Harrison, P. J. (1986) The variance of lead-time demand. J. Op. Res. Soc., 37, 303-308. [7.5]
-
(1986)
J. Op. Res. Soc.
, vol.37
, pp. 303-308
-
-
Johnston, F.R.1
Harrison, P.J.2
-
170
-
-
0040793209
-
Forecasting with generalized Bayesian vector autoregressions
-
5.3, 6.4
-
Kadiyala, K. R. and Karlsson, S. (1993) Forecasting with generalized Bayesian vector autoregressions. J. Forecasting, 12, 365-378. [5.3, 6.4]
-
(1993)
J. Forecasting
, vol.12
, pp. 365-378
-
-
Kadiyala, K.R.1
Karlsson, S.2
-
173
-
-
0004230806
-
-
3rd edn. Sevenoaks, U.K.: Arnold. [1.5, 4.3, 7.4, 7.5
-
Kendall, M. G. and Ord, J. K. (1990) Time Series, 3rd edn. Sevenoaks, U.K.: Arnold. [1.5, 4.3, 7.4, 7.5]
-
(1990)
Time Series
-
-
Kendall, M.G.1
Ord, J.K.2
-
174
-
-
0003686431
-
-
Vol., 4th edn. London: Griffin. [1.5
-
Kendall, M. G., Stuart, A. and Ord, J. K. (1983) The Advanced Theory of Statistics, Vol. 3, 4th edn. London: Griffin. [1.5]
-
(1983)
The Advanced Theory of Statistics
, vol.3
-
-
Kendall, M.G.1
Stuart, A.2
Ord, J.K.3
-
175
-
-
0002237334
-
Local trend estimation and seasonal adjustment of economic and social time series (With discussion)
-
2.3
-
Kenny, P. B. and Durbin, J. (1982) Local trend estimation and seasonal adjustment of economic and social time series (with discussion). J. Roy. Statist. Soc. A, 145, 1-41. [2.3]
-
(1982)
J. Roy. Statist. Soc. A
, vol.145
, pp. 1-41
-
-
Kenny, P.B.1
Durbin, J.2
-
176
-
-
38249031570
-
The statistical approach to economics
-
5.5
-
Klein, L. R. (1988) The statistical approach to economics. J. Econometrics, 37, 7-26. [5.5]
-
(1988)
J. Econometrics
, vol.37
, pp. 7-26
-
-
Klein, L.R.1
-
177
-
-
38249018316
-
An inappropriate prediction interval
-
7.5
-
Koehler, A. B. (1990) An inappropriate prediction interval. Int. J. Forecasting, 6, 557-558. [7.5]
-
(1990)
Int. J. Forecasting
, vol.6
, pp. 557-558
-
-
Koehler, A.B.1
-
178
-
-
0031231758
-
Forecasting international quarterly tourist flows using error-correction and time-series models
-
5.4
-
Kulendran, N. and King, M. L. (1997) Forecasting international quarterly tourist flows using error-correction and time-series models. Int. J. Forecasting, 13, 319-327. [5.4]
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 319-327
-
-
Kulendran, N.1
King, M.L.2
-
179
-
-
0033467624
-
Analysing financial returns by using regression models based on non-symmetric stable distributions
-
7.7
-
Lambert, P. and Lindsey, J. K. (1999) Analysing financial returns by using regression models based on non-symmetric stable distributions. Appl. Statist., 48, 409-424. [7.7]
-
(1999)
Appl. Statist.
, vol.48
, pp. 409-424
-
-
Lambert, P.1
Lindsey, J.K.2
-
180
-
-
0000915967
-
Robust Bayesian model selection for autoregressive processes with additive outliers
-
8.5
-
Le, N. D., Raftery, A. E. and Martin, R. D. (1996) Robust Bayesian model selection for autoregressive processes with additive outliers. J. Amer. Statist. Assoc., 91, 123-131. [8.5]
-
(1996)
J. Amer. Statist. Assoc.
, vol.91
, pp. 123-131
-
-
Le, N.D.1
Raftery, A.E.2
Martin, R.D.3
-
181
-
-
38249025798
-
The effect of additive outliers on the forecasts from ARIMA models
-
2.3, 7.7
-
Ledolter, J. (1989) The effect of additive outliers on the forecasts from ARIMA models. Int. J. Forecasting, 5, 231-240. [2.3, 7.7]
-
(1989)
Int. J. Forecasting
, vol.5
, pp. 231-240
-
-
Ledolter, J.1
-
182
-
-
38249026538
-
Confidence intervals for non-stationary forecast errors: Some empirical results for the series in the M-competition
-
7.5
-
Lefrancois, P. (1989) Confidence intervals for non-stationary forecast errors: Some empirical results for the series in the M-competition. Int. J. Forecasting, 5, 553-557. [7.5]
-
(1989)
Int. J. Forecasting
, vol.5
, pp. 553-557
-
-
Lefrancois, P.1
-
183
-
-
85057654305
-
Reply to: Comments by C. Chatfield
-
7.5
-
Lefrancois, P. (1990) Reply to: Comments by C. Chatfield. Int. J. Forecasting, 6, 561.[7.5]
-
(1990)
Int. J. Forecasting
, vol.6
, pp. 561
-
-
Lefrancois, P.1
-
184
-
-
85057687735
-
The Modern Forecaster. Belmont, CA: Lifetime Learning Publications
-
Levenbach, H. and Cleary, J.P. (1984) The Modern Forecaster. Belmont, CA: Lifetime Learning Publications. [5.2]
-
(1984)
[5.2]
-
-
Levenbach, H.1
-
185
-
-
84979347161
-
Forecasting from non-linear models in practice
-
4.2
-
Lin, J-L. and Granger, C. W. J. (1994) Forecasting from non-linear models in practice. J. Forecasting, 13, 1-9. [4.2]
-
(1994)
J. Forecasting
, vol.13
, pp. 1-9
-
-
Lin, J.-L.1
Granger, C.W.J.2
-
186
-
-
21444437852
-
Co-integration constraint and forecasting: An empirical examination
-
5.4
-
Lin, J-L. and Tsay, R. S. (1996) Co-integration constraint and forecasting: An empirical examination. J. App. Econometrics, 11, 519-538. [5.4]
-
(1996)
J. App. Econometrics
, vol.11
, pp. 519-538
-
-
Lin, J.-L.1
Tsay, R.S.2
-
187
-
-
0039849331
-
Prediction intervals based on autoregression forecasts
-
7.4
-
Luna, X. de (2000) Prediction intervals based on autoregression forecasts. The Statistician, 49, 1-29. [7.4]
-
(2000)
The Statistician
, vol.49
, pp. 1-29
-
-
Luna, X.1
-
189
-
-
0003611102
-
-
2nd edn. New York: Springer-Verlag. [5.3, 5.4, 5.7, 7.1, 7.4, 7.7, 7.8]
-
Lütkepohl, H. (1993) Introduction to Multiple Time Series Analysis, 2nd edn. New York: Springer-Verlag. [5.3, 5.4, 5.7, 7.1, 7.4, 7.7, 7.8]
-
(1993)
Introduction to Multiple Time Series Analysis
-
-
Lütkepohl, H.1
-
191
-
-
84984426556
-
The accuracy of extrapolation (Time series) methods: Results of a forecasting competition
-
6.4
-
Makridakis, S., Anderson, A., Carbone, R., Fildes, R., Hibon, M., Lewandowski, R., Newton, J., Parzen, E. and Winkler, R. (1982) The accuracy of extrapolation (time series) methods: Results of a forecasting competition. J. Forecasting, 1, 111-153. [6.4]
-
(1982)
J. Forecasting
, vol.1
, pp. 111-153
-
-
Makridakis, S.1
Anderson, A.2
Carbone, R.3
Fildes, R.4
Hibon, M.5
Lewandowski, R.6
Newton, J.7
Parzen, E.8
Winkler, R.9
-
192
-
-
84982481788
-
-
New York: Wiley. [4.3, 6.4
-
Makridakis, S., Anderson, A., Carbone, R., Fildes, R., Hibon, M., Lewandowski, R., Newton, J., Parzen, E. and Winkler, R. (1984) The Forecasting Accuracy of Major Time Series Methods. New York: Wiley. [4.3, 6.4]
-
(1984)
The Forecasting Accuracy of Major Time Series Methods
-
-
Makridakis, S.1
Anderson, A.2
Carbone, R.3
Fildes, R.4
Hibon, M.5
Lewandowski, R.6
Newton, J.7
Parzen, E.8
Winkler, R.9
-
193
-
-
38249002551
-
The M2-competition: A real-time judgmentally based forecasting study (with commentary)
-
6.4
-
Makridakis, S., Chatfield, C., Hibon, M., Lawrence, M., Mills, T., Ord, K. and Simmons, L. F. (1993) The M2-competition: A real-time judgmentally based forecasting study (with commentary). Int. J. Forecasting, 9, 5-29. [6.4]
-
(1993)
Int. J. Forecasting
, vol.9
, pp. 5-29
-
-
Makridakis, S.1
Chatfield, C.2
Hibon, M.3
Lawrence, M.4
Mills, T.5
Ord, K.6
Simmons, L.F.7
-
194
-
-
0003119860
-
Accuracy of forecasting: An empirical investigation (with discussion)
-
6.4
-
Makridakis, S. and Hibon, M. (1979) Accuracy of forecasting: An empirical investigation (with discussion). J. Roy. Statist. Soc. A, 142, 97-145. [6.4]
-
(1979)
J. Roy. Statist. Soc. A
, vol.142
, pp. 97-145
-
-
Makridakis, S.1
Hibon, M.2
-
195
-
-
0000558462
-
ARMA models and the Box-Jenkins methodology
-
4.2
-
Makridakis, S. and Hibon, M. (1997) ARMA models and the Box-Jenkins methodology. J. Forecasting, 16, 147-163. [4.2]
-
(1997)
J. Forecasting
, vol.16
, pp. 147-163
-
-
Makridakis, S.1
Hibon, M.2
-
196
-
-
38249036757
-
Confidence intervals: An empirical investigation of the series in the M-competition
-
7.5, 7.7
-
Makridakis, S., Hibon, M., Lusk, E. and Belhadjali, M. (1987) Confidence intervals: An empirical investigation of the series in the M-competition. Int. J. Forecasting, 3, 489-508. [7.5, 7.7]
-
(1987)
Int. J. Forecasting
, vol.3
, pp. 489-508
-
-
Makridakis, S.1
Hibon, M.2
Lusk, E.3
Belhadjali, M.4
-
197
-
-
85057704709
-
Forecasting Methods for Management, 5th edn
-
Makridakis, S. and Wheelwright, S. C. (1989) Forecasting Methods for Management, 5th edn. New York: Wiley. [5.2]
-
(1989)
New York: Wiley.
, vol.5
, Issue.2
-
-
Makridakis, S.1
Wheelwright, S.C.2
-
198
-
-
85057677440
-
Forecasting: Methods and Applications, 3rd edn
-
Makridakis, S., Wheelwright, S. C. and Hyndman, R. J. (1998) Forecasting: Methods and Applications, 3rd edn. New York: Wiley. [1.5]
-
(1998)
New York: Wiley.
, vol.1
, Issue.5
-
-
Makridakis, S.1
Wheelwright, S.C.2
Hyndman, R.J.3
-
199
-
-
0001327036
-
Sampling distributions of post-sample forecasting errors
-
7.5, 7.7
-
Makridakis, S. and Winkler, R. L. (1989) Sampling distributions of post-sample forecasting errors. Appl. Statist., 38, 331-342. [7.5, 7.7]
-
(1989)
Appl. Statist.
, vol.38
, pp. 331-342
-
-
Makridakis, S.1
Winkler, R.L.2
-
200
-
-
0032281698
-
Bayesian comparison of ARIMA and stationary ARMA models
-
3.1
-
Marriott, J. and Newbold, P. (1998) Bayesian comparison of ARIMA and stationary ARMA models. Int. Statist. Rev., 66, 323-336. [3.1]
-
(1998)
Int. Statist. Rev.
, vol.66
, pp. 323-336
-
-
Marriott, J.1
Newbold, P.2
-
201
-
-
38249019787
-
Bootstrap prediction intervals for autoregressions
-
7.5, 7.7
-
Masarotto, G. (1990) Bootstrap prediction intervals for autoregressions. Int. J. Forecasting, 6, 229-239. [7.5, 7.7]
-
(1990)
Int. J. Forecasting
, vol.6
, pp. 229-239
-
-
Masarotto, G.1
-
202
-
-
84979368477
-
Bootstrapping forecast intervals: An application to AR(p) models
-
7.5
-
McCullough, B. D. (1994) Bootstrapping forecast intervals: An application to AR(p) models.J. Forecasting, 13, 51-66. [7.5]
-
(1994)
J. Forecasting
, vol.13
, pp. 51-66
-
-
McCullough, B.D.1
-
203
-
-
0040463050
-
Consistent forecast intervals when the forecast-period exogenous variables are stochastic
-
7.5
-
McCullough, B. D. (1996) Consistent forecast intervals when the forecast-period exogenous variables are stochastic. J. Forecasting, 15, 293-304. [7.5]
-
(1996)
J. Forecasting
, vol.15
, pp. 293-304
-
-
McCullough, B.D.1
-
204
-
-
0043049756
-
Algorithm choice for (Partial) autocorrelation functions
-
6.5
-
McCullough, B. D. (1998) Algorithm choice for (partial) autocorrelation functions. J. of Economic and Social Measurement, 24, 265-278. [6.5]
-
(1998)
J. of Economic and Social Measurement
, vol.24
, pp. 265-278
-
-
McCullough, B.D.1
-
205
-
-
0043210938
-
Is it safe to assume that software is accurate?
-
6.5
-
McCullough, B. D. (2000) Is it safe to assume that software is accurate? Int. J. Forecasting, 16, 349-357. [6.5]
-
(2000)
Int. J. Forecasting
, vol.16
, pp. 349-357
-
-
McCullough, B.D.1
-
206
-
-
38249043079
-
Error analysis for Winters' additive seasonal forecasting system
-
7.5
-
McKenzie, E. (1986) Error analysis for Winters' additive seasonal forecasting system. Int. J. Forecasting, 2, 373-382. [7.5]
-
(1986)
Int. J. Forecasting
, vol.2
, pp. 373-382
-
-
McKenzie, E.1
-
207
-
-
0001833149
-
Power transformation and forecasting the magnitude of exchange rate changes
-
3.4
-
McKenzie, M. D. (1999) Power transformation and forecasting the magnitude of exchange rate changes. Int. J. Forecasting, 15, 49-55. [3.4]
-
(1999)
Int. J. Forecasting
, vol.15
, pp. 49-55
-
-
McKenzie, M.D.1
-
208
-
-
38249031052
-
Dominant tracking signals
-
3.5
-
McLain, J. O. (1988) Dominant tracking signals. Int. J. Forecasting, 4, 563-572. [3.5]
-
(1988)
Int. J. Forecasting
, vol.4
, pp. 563-572
-
-
McLain, J.O.1
-
209
-
-
21344479285
-
Parsimony, model adequacy and periodic correlation in time series forecasting
-
3.1, 6.4
-
McLeod, A. I. (1993) Parsimony, model adequacy and periodic correlation in time series forecasting. Int. Statist. Rev., 61, 387-393. [3.1, 6.4]
-
(1993)
Int. Statist. Rev.
, vol.61
, pp. 387-393
-
-
McLeod, A.I.1
-
210
-
-
84984475839
-
The use of growth curves in forecasting market development – a review and appraisal
-
3.3
-
Meade, N. (1984) The use of growth curves in forecasting market development – a review and appraisal. J. Forecasting, 3, 429-451. [3.3]
-
(1984)
J. Forecasting
, vol.3
, pp. 429-451
-
-
Meade, N.1
-
211
-
-
84979403954
-
Prediction intervals for growth curve forecasts
-
7.5
-
Meade, N. and Islam, T. (1995) Prediction intervals for growth curve forecasts. J. Forecasting, 14, 413-430. [7.5]
-
(1995)
J. Forecasting
, vol.14
, pp. 413-430
-
-
Meade, N.1
Islam, T.2
-
212
-
-
0002415308
-
ARARMA vs. ARIMA – A study of the benefits of a new approach to forecasting
-
Meade, N. and Smith, I. D. (1985) ARARMA vs. ARIMA – A study of the benefits of a new approach to forecasting. Int. J. Management Sci., 13, 519-534. [4.3]
-
(1985)
Int. J. Management Sci.
, vol.519-534
, pp. 13
-
-
Meade, N.1
Smith, I.D.2
-
213
-
-
0001210302
-
A comparison of autoregressive univariate forecasting procedures for macroeconomic time series
-
8.5
-
Meese, R. and Geweke, J. (1984) A comparison of autoregressive univariate forecasting procedures for macroeconomic time series. J. Bus. Econ. Statist., 2, 191-200. [8.5]
-
(1984)
J. Bus. Econ. Statist.
, vol.2
, pp. 191-200
-
-
Meese, R.1
Geweke, J.2
-
214
-
-
33846907054
-
Empirical exchange rate models of the seventies: Do they fit out of sample?
-
6.4
-
Meese, R. and Rogoff, K. (1983) Empirical exchange rate models of the seventies: Do they fit out of sample? J. Int. Economics, 14, 3-24. [6.4]
-
(1983)
J. Int. Economics
, vol.14
, pp. 3-24
-
-
Meese, R.1
Rogoff, K.2
-
217
-
-
84924213190
-
The Econometric Modelling of Financial Time Series, 2nd edn. Cambridge: Cambridge Univ. Press
-
Mills, T. C. (1999) The Econometric Modelling of Financial Time Series, 2nd edn. Cambridge: Cambridge Univ. Press. [1.5]
-
(1999)
[1.5]
-
-
Mills, T.C.1
-
218
-
-
0032386479
-
Forecasting the U.S. unemployment rate
-
2.1, 3.4
-
Montgomery, A. L., Zarnowitz, V., Tsay, R. S. and Tiao, G. C. (1998) Forecasting the U.S. unemployment rate. J. Amer. Statist. Assoc., 93, 478-493. [2.1, 3.4]
-
(1998)
J. Amer. Statist. Assoc.
, vol.93
, pp. 478-493
-
-
Montgomery, A.L.1
Zarnowitz, V.2
Tsay, R.S.3
Tiao, G.C.4
-
219
-
-
85057677645
-
Forecasting and Time Series Analysis, 2nd edn
-
Montgomery, D.C., Johnson, L. A. and Gardiner, J. S. (1990) Forecasting and Time Series Analysis, 2nd edn. New York: McGraw-Hill. [1.5]
-
(1990)
New York: Mcgraw-Hill.
, vol.1
, Issue.5
-
-
Montgomery, D.C.1
Johnson, L.A.2
Gardiner, J.S.3
-
220
-
-
21344476177
-
A drunk and her dog: An illustration of cointegration and error correction. Amer
-
Murray, M.P. (1994) A drunk and her dog: An illustration of cointegration and error correction. Amer. Statistician, 48, 37-9. [5.4]
-
(1994)
Statistician
, vol.37-9
, pp. 48
-
-
Murray, M.P.1
-
221
-
-
0002143168
-
Experience with using the Box-Cox transformation when forecasting economic time series
-
2.3
-
Nelson, H. L. and Granger, C. W. J. (1979) Experience with using the Box-Cox transformation when forecasting economic time series. J. Econometrics, 10, 57-69. [2.3]
-
(1979)
J. Econometrics
, vol.10
, pp. 57-69
-
-
Nelson, H.L.1
Granger, C.W.J.2
-
223
-
-
0043270177
-
Predictors projecting linear trend plus seasonal dummies
-
2.3
-
Newbold, P. (1988) Predictors projecting linear trend plus seasonal dummies. The Statistician, 37, 111-127. [2.3]
-
(1988)
The Statistician
, vol.37
, pp. 111-127
-
-
Newbold, P.1
-
224
-
-
85057709964
-
-
Encyclopedia of Statistical Sciences (ed. S. Kotz), Update Vol., New York: Wiley. [6.5]
-
Newbold, P. (1997) Business forecasting methods. In Encyclopedia of Statistical Sciences (ed. S. Kotz), Update Vol. 1, pp. 64-74. New York: Wiley. [6.5]
-
(1997)
Business Forecasting Methods
, vol.1
, pp. 64-74
-
-
Newbold, P.1
-
225
-
-
0000209313
-
Experience with forecasting univariate time-series and the combination of forecasts (With discussion)
-
6.4, 7.7
-
Newbold, P. and Granger, C. W. J. (1974) Experience with forecasting univariate time-series and the combination of forecasts (with discussion). J. Roy. Statist. Soc. A, 137, 131-165. [6.4, 7.7]
-
(1974)
J. Roy. Statist. Soc. A
, vol.137
, pp. 131-165
-
-
Newbold, P.1
Granger, C.W.J.2
-
226
-
-
0344799836
-
Long-term inference based on short-term forecasting models. In Time Series Analysis (ed. T. Subba Rao), pp. 9-25. London: Chapman and Hall
-
Newbold, P., Agiakloglou, C. and Miller, J. (1993) Long-term inference based on short-term forecasting models. In Time Series Analysis (ed. T. Subba Rao), pp. 9-25. London: Chapman and Hall. [3.1]
-
(1993)
[3.1]
-
-
Newbold, P.1
Agiakloglou, C.2
Miller, J.3
-
227
-
-
0001600794
-
Adventures with ARIMA software
-
4.2, 6.5
-
Newbold, P., Agiakloglou, C. and Miller, J. (1994) Adventures with ARIMA software. Int. J. Forecasting, 10, 573-581. [4.2, 6.5]
-
(1994)
Int. J. Forecasting
, vol.10
, pp. 573-581
-
-
Newbold, P.1
Agiakloglou, C.2
Miller, J.3
-
228
-
-
0001525575
-
-
vol., (eds. E. J. Hannan, P. R. Krishnaiah and M. M. Rao), pp., Amsterdam: North-Holland. [3.4]
-
Nicholls, D. F. and Pagan, A. R. (1985) Varying coefficient regression. In Handbook of Statistics, vol. 5 (eds. E. J. Hannan, P. R. Krishnaiah and M. M. Rao), pp. 413-449. Amsterdam: North-Holland. [3.4]
-
(1985)
Varying Coefficient Regression. in Handbook of Statistics
, vol.5
, pp. 413-449
-
-
Nicholls, D.F.1
Pagan, A.R.2
-
229
-
-
0030336577
-
Nonlinear additive modelsforenvironmental time series, with applications to ground-level ozone data analysis
-
5.6
-
Niu, X. (1996) Nonlinear additive modelsforenvironmental time series, with applications to ground-level ozone data analysis. J. Amer. Statist. Assoc., 91, 1310-1321. [5.6]
-
(1996)
J. Amer. Statist. Assoc.
, vol.91
, pp. 1310-1321
-
-
Niu, X.1
-
230
-
-
0031232072
-
Forecasting with periodic models: A comparison with time-invariant coefficient models
-
6.4
-
Novales, A. and Flores de Fruto, R. (1997) Forecasting with periodic models: A comparison with time-invariant coefficient models. Int. J. Forecasting, 13, 393-405. [6.4]
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 393-405
-
-
Novales, A.1
Flores de Fruto, R.2
-
231
-
-
84984516234
-
An examination of the accuracy of judgemental confidence intervals in time series forecasting
-
7.5
-
O'Connor, M. and Lawrence, M. (1989) An examination of the accuracy of judgemental confidence intervals in time series forecasting. J. Forecasting, 8, 141-155. [7.5]
-
(1989)
J. Forecasting
, vol.8
, pp. 141-155
-
-
O'Connor, M.1
Lawrence, M.2
-
232
-
-
38249015933
-
Time series characteristics and the widths of judgemental confidence intervals
-
7.5
-
O'Connor, M. and Lawrence, M. (1992) Time series characteristics and the widths of judgemental confidence intervals. Int. J. Forecasting, 7, 413-420. [7.5]
-
(1992)
Int. J. Forecasting
, vol.7
, pp. 413-420
-
-
O'Connor, M.1
Lawrence, M.2
-
233
-
-
0005905177
-
Testing for covariance stationarity in the U.K. all-equity returns
-
3.4
-
Omran, M. F. and McKenzie, E. (1999) Testing for covariance stationarity in the U.K. all-equity returns. Appl. Statist., 48, 361-369. [3.4]
-
(1999)
Appl. Statist.
, vol.48
, pp. 361-369
-
-
Omran, M.F.1
McKenzie, E.2
-
234
-
-
0031321353
-
Estimation and prediction for a class of dynamic nonlinear statistical models
-
3.2, 4.3, 7.5
-
Ord, J. K., Koehler, A. B. and Snyder, R. D. (1997) Estimation and prediction for a class of dynamic nonlinear statistical models. J. Amer. Statist. Assoc., 92, 1621-1629. [3.2, 4.3, 7.5]
-
(1997)
J. Amer. Statist. Assoc.
, vol.92
, pp. 1621-1629
-
-
Ord, J.K.1
Koehler, A.B.2
Snyder, R.D.3
-
236
-
-
0002606579
-
ARARMA models for time series analysis and forecasting
-
4.3, 6.4
-
Parzen, E. (1982) ARARMA models for time series analysis and forecasting. J. Forecasting, 1, 67-82. [4.3, 6.4]
-
(1982)
J. Forecasting
, vol.1
, pp. 67-82
-
-
Parzen, E.1
-
238
-
-
0000758422
-
Identifying a simplifying structure in time series
-
5.1
-
Pena, D. and Box, G. E. P. (1987) Identifying a simplifying structure in time series. J. Amer. Statist. Assoc., 82, 836-843. [5.1]
-
(1987)
J. Amer. Statist. Assoc.
, vol.82
, pp. 836-843
-
-
Pena, D.1
Box, G.E.P.2
-
240
-
-
84984442868
-
Using the bootstrap to evaluate forecasting equations
-
7.5
-
Peters, S. C. and Freedman, D. A. (1985) Using the bootstrap to evaluate forecasting equations. J. Forecasting, 4, 251-262. [7.5]
-
(1985)
J. Forecasting
, vol.4
, pp. 251-262
-
-
Peters, S.C.1
Freedman, D.A.2
-
241
-
-
0023842446
-
Confidence intervals for population projections based on Monte Carlo methods
-
7.5
-
Pflaumer, P. (1988) Confidence intervals for population projections based on Monte Carlo methods. Int.J.Forecasting, 4, 135-142. [7.5]
-
(1988)
Int.J.Forecasting
, vol.4
, pp. 135-142
-
-
Pflaumer, P.1
-
242
-
-
0039051532
-
The sampling distribution of forecasts from a first-order autoregression
-
7.4, 7.5
-
Phillips, P. C. B. (1979) The sampling distribution of forecasts from a first-order autoregression. J. Econometrics, 9, 241-261. [7.4, 7.5]
-
(1979)
J. Econometrics
, vol.9
, pp. 241-261
-
-
Phillips, P.C.B.1
-
243
-
-
33745248740
-
Understanding spurious regressions in econometrics
-
5.2
-
Phillips, P. C. B. (1986) Understanding spurious regressions in econometrics. J. Econometrics, 33, 311-340. [5.2]
-
(1986)
J. Econometrics
, vol.33
, pp. 311-340
-
-
Phillips, P.C.B.1
-
244
-
-
84950445313
-
Cross-validation of regression models
-
8.4, 8.5
-
Picard, R. R. and Cook, R. D. (1984) Cross-validation of regression models. J. Amer. Statist. Assoc., 79, 575-583. [8.4, 8.5]
-
(1984)
J. Amer. Statist. Assoc.
, vol.79
, pp. 575-583
-
-
Picard, R.R.1
Cook, R.D.2
-
245
-
-
0003410296
-
-
New York: Chapman and Hall. [1.5, 4.2, 6.4, 7.5
-
Pole, A., West, M. and Harrison, J. (1994) Applied Bayesian Forecasting and Time Series Analysis. New York: Chapman and Hall. [1.5, 4.2, 6.4, 7.5]
-
(1994)
Applied Bayesian Forecasting and Time Series Analysis
-
-
Pole, A.1
West, M.2
Harrison, J.3
-
246
-
-
0010907971
-
Determining a portfolio of linear time series models
-
8.5
-
Poskitt, D. S. and Tremayne, A. R. (1987) Determining a portfolio of linear time series models. Biometrika, 74, 125-137. [8.5]
-
(1987)
Biometrika
, vol.74
, pp. 125-137
-
-
Poskitt, D.S.1
Tremayne, A.R.2
-
247
-
-
0040532147
-
The distribution of estimators after model selection: Large and small sample results
-
8.4
-
Pötscher, B. M. and Novak, A. J. (1998) The distribution of estimators after model selection: Large and small sample results. J. Statist. Comput. Simul., 60, 19-56. [8.4]
-
(1998)
J. Statist. Comput. Simul.
, vol.60
, pp. 19-56
-
-
Pötscher, B.M.1
Novak, A.J.2
-
248
-
-
0003406402
-
-
London: Academic Press. [1.5, 2.3, 2.6, 3.1, 3.2, 3.4, 4.1, 5.1, 5.3
-
Priestley, M. B. (1981) Spectral Analysis and Time Series, Vols. 1 and 2. London: Academic Press. [1.5, 2.3, 2.6, 3.1, 3.2, 3.4, 4.1, 5.1, 5.3]
-
(1981)
Spectral Analysis and Time Series, Vols. 1 and 2
-
-
Priestley, M.B.1
-
250
-
-
0031506560
-
Bayesian model averaging for linear regression models
-
8.5
-
Raftery, A. E., Madigan, D. and Hoeting, J. (1997) Bayesian model averaging for linear regression models. J. Amer. Statist. Assoc., 92, 179-191. [8.5]
-
(1997)
J. Amer. Statist. Assoc.
, vol.92
, pp. 179-191
-
-
Raftery, A.E.1
Madigan, D.2
Hoeting, J.3
-
251
-
-
0023401163
-
Approximate simultaneous prediction intervals for multiple forecasts
-
7.1
-
Ravishankar, N., Hochberg, Y., and Melnick, E. L. (1987) Approximate simultaneous prediction intervals for multiple forecasts. Technometrics, 29, 371-376. [7.1]
-
(1987)
Technometrics
, vol.29
, pp. 371-376
-
-
Ravishankar, N.1
Hochberg, Y.2
Melnick, E.L.3
-
252
-
-
84979407692
-
Multiple prediction intervals for time series: Comparison of simultaneous and marginal intervals
-
7.1
-
Ravishankar, N., Shiao-Yen Wu, L. and Glaz, J. (1991) Multiple prediction intervals for time series: comparison of simultaneous and marginal intervals. J. Forecasting, 10, 445-463. [7.1]
-
(1991)
J. Forecasting
, vol.10
, pp. 445-463
-
-
Ravishankar, N.1
Shiao-Yen Wu, L.2
Glaz, J.3
-
253
-
-
0000225253
-
Long-range forecasting of IBM product revenues using a seasonal fractionally differenced ARMA model
-
3.1, 6.4
-
Ray, B. K. (1993) Long-range forecasting of IBM product revenues using a seasonal fractionally differenced ARMA model. Int. J. Forecasting, 9, 255-269. [3.1, 6.4]
-
(1993)
Int. J. Forecasting
, vol.9
, pp. 255-269
-
-
Ray, B.K.1
-
254
-
-
85057708045
-
A review of short-term projection techniques. In Practical Aspects of Forecasting (ed. H. A. Gordon), pp. 8-25. London: Op. Res. Soc
-
Reid, D. J. (1975). A review of short-term projection techniques. In Practical Aspects of Forecasting (ed. H. A. Gordon), pp. 8-25. London: Op. Res. Soc. [6.4]
-
(1975)
[6.4]
-
-
Reid, D.J.1
-
255
-
-
21744440849
-
Asymptotic properties of prediction errors for the multivariate autoregressive model using estimated parameters
-
7.4
-
Reinsel, G. (1980) Asymptotic properties of prediction errors for the multivariate autoregressive model using estimated parameters. J. Roy. Statist. Soc. B, 42, 328-333. [7.4]
-
(1980)
J. Roy. Statist. Soc. B
, vol.42
, pp. 328-333
-
-
Reinsel, G.1
-
256
-
-
85057666184
-
Elements of Multivariate Time Series Analysis, 2nd edn
-
Reinsel, G. C. (1997) Elements of Multivariate Time Series Analysis, 2nd edn. New York: Springer-Verlag. [5.3]
-
(1997)
New York: Springer-Verlag.
, vol.5
, Issue.3
-
-
Reinsel, G.C.1
-
257
-
-
0031512270
-
Heavy tail modeling and teletraffic data (With discussion)
-
7.7
-
Resnick, S. I. (1997) Heavy tail modeling and teletraffic data (with discussion). Ann. Statist., 25, 1805-1869. [7.7]
-
(1997)
Ann. Statist.
, vol.25
, pp. 1805-1869
-
-
Resnick, S.I.1
-
259
-
-
0000895370
-
The Delphi technique as a forecasting tool: Issues and analysis
-
1.1
-
Rowe, G. and Wright, G. (1999) The Delphi technique as a forecasting tool: issues and analysis. Int. J. Forecasting, 15, 353-375. [1.1]
-
(1999)
Int. J. Forecasting
, vol.15
, pp. 353-375
-
-
Rowe, G.1
Wright, G.2
-
260
-
-
0242690660
-
Microcomputer software of interest to forecasters in comparative review: Updated again
-
6.5
-
Rycroft, R. S. (1999) Microcomputer software of interest to forecasters in comparative review: updated again. Int. J. of Forecasting, 15, 93-120. [6.5]
-
(1999)
Int. J. of Forecasting
, vol.15
, pp. 93-120
-
-
Rycroft, R.S.1
-
261
-
-
0031190469
-
The role of sensitivity analysis in the corroboration of models and its link to model structural and parametric uncertainty
-
1-4. [8.5
-
Saltelli, A. and Scott, M. (1997) The role of sensitivity analysis in the corroboration of models and its link to model structural and parametric uncertainty. Reliability Engineering and System Safety, 57, 1-4. [8.5]
-
(1997)
Reliability Engineering and System Safety
, vol.57
-
-
Saltelli, A.1
Scott, M.2
-
262
-
-
0033426505
-
The use of resampling methods to simplify regression models in medical statistics
-
8.4
-
Sauerbrei, W. (1999) The use of resampling methods to simplify regression models in medical statistics. App. Stats., 48, 313-329. [8.4]
-
(1999)
App. Stats.
, vol.48
, pp. 313-329
-
-
Sauerbrei, W.1
-
263
-
-
24944529429
-
Bayesian modeling and forecasting in autoregressive models. In Bayesian Analysis of Time Series and Dynamic Models (ed. J.C. Spall), pp. 23-52. New York: Marcel Dekker
-
Schervish, M. J. and Tsay, R. S. (1988) Bayesian modeling and forecasting in autoregressive models. In Bayesian Analysis of Time Series and Dynamic Models (ed. J.C. Spall), pp. 23-52. New York: Marcel Dekker. [8.5]
-
(1988)
[8.5]
-
-
Schervish, M.J.1
Tsay, R.S.2
-
264
-
-
0038992923
-
Some small sample evidence on the distribution of dynamic simulation forecasts
-
7.5
-
Schmidt, P. (1977) Some small sample evidence on the distribution of dynamic simulation forecasts. Econometrica, 45, 997-1005. [7.5]
-
(1977)
Econometrica
, vol.45
, pp. 997-1005
-
-
Schmidt, P.1
-
265
-
-
84979378595
-
When and how to use scenario planning: A heuristic approach with illustrations
-
8.5
-
Schoemaker, P. J. H. (1991) When and how to use scenario planning: A heuristic approach with illustrations. J. Forecasting, 10, 549-564. [8.5]
-
(1991)
J. Forecasting
, vol.10
, pp. 549-564
-
-
Schoemaker, P.J.H.1
-
267
-
-
0001790102
-
Statistical aspects of ARCH and stochastic volatility. In Time Series Models (eds.D.R.Cox, D. V. Hinkley and O. E. Barndorff-Nielsen), pp. 1-67. London: Chapman and Hall
-
Shephard, N. (1996) Statistical aspects of ARCH and stochastic volatility. In Time Series Models (eds.D.R.Cox, D. V. Hinkley and O. E. Barndorff-Nielsen), pp. 1-67. London: Chapman and Hall. [3.4]
-
(1996)
[3.4]
-
-
Shephard, N.1
-
268
-
-
0002412604
-
Forecasting costs incurred from unit differencing fractionally integrated processes
-
6.4
-
Smith, J. and Yadav, S. (1994) Forecasting costs incurred from unit differencing fractionally integrated processes. Int. J. Forecasting, 10, 507-514. [6.4]
-
(1994)
Int. J. Forecasting
, vol.10
, pp. 507-514
-
-
Smith, J.1
Yadav, S.2
-
269
-
-
0000185819
-
Developing a Bayesian vector autoregression forecasting model
-
5.3
-
Spencer, D. E. (1993) Developing a Bayesian vector autoregression forecasting model. Int. J. Forecasting, 9, 407-421. [5.3]
-
(1993)
Int. J. Forecasting
, vol.9
, pp. 407-421
-
-
Spencer, D.E.1
-
270
-
-
0003140365
-
Neural networks in applied statistics (With discussion)
-
3.4
-
Stern, H. (1996) Neural networks in applied statistics (with discussion). Technometrics, 38, 205-220. [3.4]
-
(1996)
Technometrics
, vol.38
, pp. 205-220
-
-
Stern, H.1
-
271
-
-
0001220102
-
Estimating properties of autoregressive forecasts
-
7.5
-
Stine, R. A. (1987) Estimating properties of autoregressive forecasts. J. Amer. Statist. Assoc., 82, 1072-1078. [7.5]
-
(1987)
J. Amer. Statist. Assoc.
, vol.82
, pp. 1072-1078
-
-
Stine, R.A.1
-
272
-
-
70350105390
-
Unit roots, structural breaks and trends. In Handbook of Econometrics, Vol IV (eds. R. F. Engle and D. L. McFadden), pp. 2739-2841. Amsterdam: Elsevier
-
Stock, J. H. (1994) Unit roots, structural breaks and trends. In Handbook of Econometrics, Vol IV (eds. R. F. Engle and D. L. McFadden), pp. 2739-2841. Amsterdam: Elsevier. [3.1]
-
(1994)
[3.1]
-
-
Stock, J.H.1
-
273
-
-
84984499875
-
On multistep prediction error methods for time series models
-
8.5
-
Stoica, P. and Nehorai, A. (1989) On multistep prediction error methods for time series models. J. Forecasting, 8, 357-368. [8.5]
-
(1989)
J. Forecasting
, vol.8
, pp. 357-368
-
-
Stoica, P.1
Nehorai, A.2
-
274
-
-
85057685387
-
An Introduction to Bispectral Analysis and Bilinear Models. New York: Springer Lecture Notes in Statistics
-
Subba Rao, T. and Gabr, M. M. (1984) An Introduction to Bispectral Analysis and Bilinear Models. New York: Springer Lecture Notes in Statistics, No. 24. [3.4]
-
(1984)
No
, vol.24
-
-
Subba Rao, T.1
Gabr, M.M.2
-
275
-
-
84979385947
-
Time-series forecasting using fractional differencing
-
6.4
-
Sutcliffe, A. (1994) Time-series forecasting using fractional differencing. J. Forecasting, 13, 383-393. [6.4]
-
(1994)
J. Forecasting
, vol.13
, pp. 383-393
-
-
Sutcliffe, A.1
-
276
-
-
0031521391
-
Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models
-
6.3, 7.7
-
Swanson, N. R. and White, H. (1997) Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models. Int. J. Forecasting, 13, 439-461. [6.3, 7.7]
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 439-461
-
-
Swanson, N.R.1
White, H.2
-
277
-
-
0030167530
-
The use of protocols to select exponential smoothing procedures: A reconsideration of forecasting competitions
-
6.5
-
Tashman, L. J. and Kruk, J. M. (1996) The use of protocols to select exponential smoothing procedures: A reconsideration of forecasting competitions. Int. J. Forecasting, 12, 235-253. [6.5]
-
(1996)
Int. J. Forecasting
, vol.12
, pp. 235-253
-
-
Tashman, L.J.1
Kruk, J.M.2
-
278
-
-
0001658414
-
Density forecasting: A survey
-
7.1
-
Tay, A. S. and Wallis, K. F. (2000) Density forecasting: A survey. J. of Forecasting, 19, 235-254. [7.1]
-
(2000)
J. of Forecasting
, vol.19
, pp. 235-254
-
-
Tay, A.S.1
Wallis, K.F.2
-
279
-
-
0031231817
-
On the practical problems of computing seasonal unit root tests
-
3.1
-
Taylor, A. M. R. (1997) On the practical problems of computing seasonal unit root tests. Int. J. Forecasting, 13, 307-318. [3.1]
-
(1997)
Int. J. Forecasting
, vol.13
, pp. 307-318
-
-
Taylor, A.M.R.1
-
280
-
-
0000588489
-
Evaluating volatility and interval forecasts
-
7.1
-
Taylor, J. W. (1999) Evaluating volatility and interval forecasts. J. Forecasting, 18, 111-128. [7.1]
-
(1999)
J. Forecasting
, vol.18
, pp. 111-128
-
-
Taylor, J.W.1
-
281
-
-
0001707898
-
Investigating improvements in the accuracy of prediction intervals for combination of forecasts: A simulation study
-
4.3, 7.1, 7.5
-
Taylor, J. W. and Bunn, D. W. (1999) Investigating improvements in the accuracy of prediction intervals for combination of forecasts: A simulation study. Int. J. Forecasting, 15, 325-339. [4.3, 7.1, 7.5]
-
(1999)
Int. J. Forecasting
, vol.15
, pp. 325-339
-
-
Taylor, J.W.1
Bunn, D.W.2
-
282
-
-
84986754945
-
Modeling stochastic volatility: A review and comparative study
-
3.4
-
Taylor, S. J. (1994) Modeling stochastic volatility: A review and comparative study. Math. Finance, 4, 183-204. [3.4]
-
(1994)
Math. Finance
, vol.4
, pp. 183-204
-
-
Taylor, S.J.1
-
283
-
-
84923053681
-
Specification, estimation and evaluation of smooth transition autoregressive models
-
3.4
-
Teräsvirta, T. (1994) Specification, estimation and evaluation of smooth transition autoregressive models. J. Amer. Statist. Assoc., 89, 208-218. [3.4]
-
(1994)
J. Amer. Statist. Assoc.
, vol.89
, pp. 208-218
-
-
Teräsvirta, T.1
-
284
-
-
70350088033
-
Aspects of modelling nonlinear time series. In Handbook of Econometrics, Vol. IV (eds. R. F. Engle and D. L. McFadden), pp. 2917-2957. Amsterdam: Elsevier
-
Teräsvirta, T., Tjostheim, D. and Granger, C. W. J. (1994) Aspects of modelling nonlinear time series. In Handbook of Econometrics, Vol. IV (eds. R. F. Engle and D. L. McFadden), pp. 2917-2957. Amsterdam: Elsevier. [5.6]
-
(1994)
[5.6]
-
-
Teräsvirta, T.1
Tjostheim, D.2
Granger, C.W.J.3
-
285
-
-
0001385863
-
Bootstrap prediction intervals for autoregression
-
7.5, 7.6
-
Thombs, L. A. and Schucany, W. R. (1990) Bootstrap prediction intervals for autoregression. J. Amer. Statist. Assoc., 85, 486-492. [7.5, 7.6]
-
(1990)
J. Amer. Statist. Assoc.
, vol.85
, pp. 486-492
-
-
Thombs, L.A.1
Schucany, W.R.2
-
286
-
-
0000902340
-
Sampling the future: A Bayesian approach to forecasting from univariate time series models
-
7.1, 7.5, 7.8
-
Thompson, P. A. and Miller, R. B. (1986) Sampling the future: A Bayesian approach to forecasting from univariate time series models. J. Bus. Econ. Statist., 4, 427-436. [7.1, 7.5, 7.8]
-
(1986)
J. Bus. Econ. Statist.
, vol.4
, pp. 427-436
-
-
Thompson, P.A.1
Miller, R.B.2
-
287
-
-
84979455306
-
Some advances in non-linear and adaptive modelling in time series
-
3.4
-
Tiao, G. C. and Tsay, R. S. (1994). Some advances in non-linear and adaptive modelling in time series. J. Forecasting, 13, 109-131. [3.4]
-
(1994)
J. Forecasting
, vol.13
, pp. 109-131
-
-
Tiao, G.C.1
Tsay, R.S.2
-
288
-
-
0000110667
-
Robustness of maximum likelihood estimates for multi-step predictions: The exponential smoothing case
-
8.5
-
Tiao, G. C. and Xu, D. (1993) Robustness of maximum likelihood estimates for multi-step predictions: The exponential smoothing case. Biometrika, 80, 623-641. [8.5]
-
(1993)
Biometrika
, vol.80
, pp. 623-641
-
-
Tiao, G.C.1
Xu, D.2
-
290
-
-
0003566072
-
-
Oxford: Oxford Univ. Press. [3.4, 4.2, 5.6, 7.5
-
Tong, H. (1990) Non-linear Time Series. Oxford: Oxford Univ. Press. [3.4, 4.2, 5.6, 7.5]
-
(1990)
Non-Linear Time Series
-
-
Tong, H.1
-
291
-
-
0002392160
-
A personal overview of non-linear time series analysis from achaos perspective
-
3.4
-
Tong, H. (1995) A personal overview of non-linear time series analysis from achaos perspective. Scand. J. Stats., 22, 399-446. [3.4]
-
(1995)
Scand. J. Stats.
, vol.22
, pp. 399-446
-
-
Tong, H.1
-
293
-
-
85057656138
-
Applications of computationally-intensive methods to econometrics
-
Veall, M. R. (1989) Applications of computationally-intensive methods to econometrics. Bull. I.S.I., 47th Session, 75-88. [7.5]
-
(1989)
Bull. I.S.I., 47Th Session
, vol.75-88
-
-
Veall, M.R.1
-
294
-
-
85057664575
-
Discussion contribution to Newbold and Granger (1974)
-
7.7
-
Wallis, K. F. (1974) Discussion contribution to Newbold and Granger (1974). J. Roy. Statist. Soc. A, 137, 155-6. [7.7]
-
(1974)
J. Roy. Statist. Soc. A
, vol.137
, pp. 155-156
-
-
Wallis, K.F.1
-
295
-
-
85057687767
-
Models of the U.K. Economy. Oxford: Oxford Univ. Press
-
Wallis, K. F. (ed.) (1986) Models of the U.K. Economy. Oxford: Oxford Univ. Press. [8.4]
-
(1986)
[8.4]
-
-
Wallis, K.F.1
-
296
-
-
1842616519
-
Asymmetric density forecasts of inflation and the Bank of England's fan chart
-
Wallis, K. F. (1999) Asymmetric density forecasts of inflation and the Bank of England's fan chart. Nat. Inst. Econ. Review, no. 167, 106-112. [7.1]
-
(1999)
Nat. Inst. Econ. Review, No
, vol.106-112
, pp. 167
-
-
Wallis, K.F.1
-
297
-
-
0030327681
-
Understanding neural networks as statistical tools
-
3.4
-
Warner, B. and Misra, M. (1996) Understanding neural networks as statistical tools. Amer. Statist., 50, 284-293. [3.4]
-
(1996)
Amer. Statist.
, vol.50
, pp. 284-293
-
-
Warner, B.1
Misra, M.2
-
298
-
-
70350105389
-
Vector autoregressions and cointegration. In Handbook of Econometrics, Vol. IV (eds. R. F. Engle and D. L. McFadden), pp. 2843-2957. Amsterdam: Elsevier
-
Watson, M. W. (1994) Vector autoregressions and cointegration. In Handbook of Econometrics, Vol. IV (eds. R. F. Engle and D. L. McFadden), pp. 2843-2957. Amsterdam: Elsevier. [5.3]
-
(1994)
[5.3]
-
-
Watson, M.W.1
-
299
-
-
0030102832
-
Judgemental and statistical time series forecasting: A review of the literature
-
1.1, 7.5
-
Webby, R. and O'Connor, M. (1996) Judgemental and statistical time series forecasting: a review of the literature. Int. J. Forecasting, 12, 91-118. [1.1, 7.5]
-
(1996)
Int. J. Forecasting
, vol.12
, pp. 91-118
-
-
Webby, R.1
O'Connor, M.2
-
300
-
-
0003828507
-
-
Redwood City, CA: Addison-Wesley. [1.5, 2.4, 5.1, 7.1]
-
Wei, W. W. S. (1990) Time Series Analysis: Univariate and Multivariate Methods. Redwood City, CA: Addison-Wesley. [1.5, 2.4, 5.1, 7.1]
-
(1990)
Time Series Analysis: Univariate and Multivariate Methods
-
-
Wei, W.W.S.1
-
301
-
-
85057669666
-
Time Series Prediction, Proc. Vol. XV, Santa Fe Institute Studies in the Sciences of Complexity. Reading, MA: Addison-Wesley. [3.4
-
Weigend, A. S. and Gershenfeld, N. A. (eds.) (1994) Time Series Prediction, Proc. Vol. XV, Santa Fe Institute Studies in the Sciences of Complexity. Reading, MA: Addison-Wesley. [3.4, 6.4]
-
(1994)
6.4]
-
-
Weigend, A.S.1
Gershenfeld, N.A.2
-
302
-
-
85057662541
-
Applied Linear Regression. NewYork: Wiley. [7.4
-
Weisberg, S. (1985) Applied Linear Regression. NewYork: Wiley. [7.4, 7.5]
-
(1985)
7.5]
-
-
Weisberg, S.1
-
303
-
-
0000650195
-
The predictive ability ofseveral models of exchange rate volatility
-
3.4
-
West, K. D. and Cho, D. (1995) The predictive ability ofseveral models of exchange rate volatility. J. Econometrics, 69, 367-391. [3.4]
-
(1995)
J. Econometrics
, vol.69
, pp. 367-391
-
-
West, K.D.1
Cho, D.2
-
304
-
-
0003751465
-
-
2nd edn. New York: Springer-Verlag. [1.5, 3.2, 4.2, 4.4, 5.6, 7.5, 8.5]
-
West, M. and Harrison, J. (1997) Bayesian Forecasting and Dynamic Models, 2nd edn. New York: Springer-Verlag. [1.5, 3.2, 4.2, 4.4, 5.6, 7.5, 8.5]
-
(1997)
Bayesian Forecasting and Dynamic Models
-
-
West, M.1
Harrison, J.2
-
305
-
-
85057694724
-
Can neural networks forecast in the big league? Comparing forecasts to the pros. Key Note Address to the 14th Int
-
Stockholm. [6.4
-
White, H. (1994) Can neural networks forecast in the big league? Comparing forecasts to the pros. Key Note Address to the 14th Int. Symposium on Forecasting, Stockholm. [6.4]
-
(1994)
Symposium on Forecasting
-
-
White, H.1
-
306
-
-
85057694489
-
Prediction and Regulation, 2nd edn., revised. Minneapolis: Univ. of Minnesota Press
-
Whittle, P. (1983) Prediction and Regulation, 2nd edn., revised. Minneapolis: Univ. of Minnesota Press. [4.1]
-
(1983)
[4.1]
-
-
Whittle, P.1
-
307
-
-
0000505679
-
A simple method for the construction of empirical confidence limits for economic forecasts
-
7.5, 7.7
-
Williams, W. H. and Goodman, M. L. (1971) A simple method for the construction of empirical confidence limits for economic forecasts. J. Amer. Statist. Assoc., 66, 752-754. [7.5, 7.7]
-
(1971)
J. Amer. Statist. Assoc.
, vol.66
, pp. 752-754
-
-
Williams, W.H.1
Goodman, M.L.2
-
308
-
-
84903128295
-
A decision-theoretic approach tointerval estimation
-
7.5
-
Winkler, R. L. (1972) A decision-theoretic approach tointerval estimation. J. Amer. Statist. Assoc., 67, 187-191. [7.5]
-
(1972)
J. Amer. Statist. Assoc.
, vol.67
, pp. 187-191
-
-
Winkler, R.L.1
-
309
-
-
0030163344
-
Forecasting practice: A review of the empirical literature and an agenda for future research
-
6.5
-
Winklhofer, H., Diamantopoulos, A. and Witt, S. F. (1996) Forecasting practice: A review of the empirical literature and an agenda for future research. Int. J. Forecasting, 12, 193-221. [6.5]
-
(1996)
Int. J. Forecasting
, vol.12
, pp. 193-221
-
-
Winklhofer, H.1
Diamantopoulos, A.2
Witt, S.F.3
-
310
-
-
0002052419
-
Editorial: The role and validity of judgment in forecasting
-
7.5
-
Wright, G., Lawrence, M. J. and Collopy, F. (1996) Editorial: The role and validity of judgment in forecasting. Int. J. Forecasting, 12, 1-8. [7.5]
-
(1996)
Int. J. Forecasting
, vol.12
, pp. 1-8
-
-
Wright, G.1
Lawrence, M.J.2
Collopy, F.3
-
311
-
-
0000946416
-
Asymptotic mean square prediction error for an autoregressive model with estimated coefficients
-
7.4
-
Yamamoto, T. (1976) Asymptotic mean square prediction error for an autoregressive model with estimated coefficients. Appl. Statist., 25, 123-127. [7.4]
-
(1976)
Appl. Statist.
, vol.25
, pp. 123-127
-
-
Yamamoto, T.1
-
312
-
-
0038952377
-
Predictions of multivariate autoregressive moving average models
-
7.4
-
Yamamoto, T. (1981) Predictions of multivariate autoregressive moving average models. Biometrika, 68, 485-492. [7.4]
-
(1981)
Biometrika
, vol.68
, pp. 485-492
-
-
Yamamoto, T.1
-
313
-
-
0001419994
-
Quantifying the influence of initial values on non-linear prediction
-
3.4
-
Yao, Q. and Tong, H. (1994) Quantifying the influence of initial values on non-linear prediction. J. Roy. Statist. Soc. B, 56, 701-725. [3.4]
-
(1994)
J. Roy. Statist. Soc. B
, vol.56
, pp. 701-725
-
-
Yao, Q.1
Tong, H.2
-
314
-
-
0039532850
-
Prediction intervals for the Holt-Winters forecasting procedure
-
7.5, 7.6
-
Yar, M. and Chatfield, C. (1990) Prediction intervals for the Holt-Winters forecasting procedure. Int. J. Forecasting, 6, 1-11. [7.5, 7.6]
-
(1990)
Int. J. Forecasting
, vol.6
, pp. 1-11
-
-
Yar, M.1
Chatfield, C.2
-
315
-
-
0003123930
-
Forecasting with artificial neural networks: The state of the art
-
6.4
-
Zhang, G., Patuwo, B. E. and Hu, M. Y. (1998) Forecasting with artificial neural networks: The state of the art. Int. J. Forecasting, 14, 35-62. [6.4]
-
(1998)
Int. J. Forecasting
, vol.14
, pp. 35-62
-
-
Zhang, G.1
Patuwo, B.E.2
Hu, M.Y.3
-
316
-
-
0037827949
-
Inference after variable selection in linear regression models
-
8.2
-
Zhang, P. (1992) Inference after variable selection in linear regression models. Biometrika, 79, 741-746. [8.2]
-
(1992)
Biometrika
, vol.79
, pp. 741-746
-
-
Zhang, P.1
|