-
2
-
-
38249036153
-
Estimating the error variance in regression after a preliminary test of restrictions on the coefficients
-
Clarke, J.A., Giles, D.E.A. and Wallace, T.D. (1987a). "Estimating the error variance in regression after a preliminary test of restrictions on the coefficients," Journal of Econometrics, 34, 293-304.
-
(1987)
Journal of Econometrics
, vol.34
, pp. 293-304
-
-
Clarke, J.A.1
Giles, D.E.A.2
Wallace, T.D.3
-
3
-
-
84972475778
-
Preliminary-test estimation of the error variance in linear regression
-
Clarke, J.A., Giles, D.E.A. and Wallace, T.D. (1987b). "Preliminary-test estimation of the error variance in linear regression," Econometric Theory, 3, 299-304.
-
(1987)
Econometric Theory
, vol.3
, pp. 299-304
-
-
Clarke, J.A.1
Giles, D.E.A.2
Wallace, T.D.3
-
5
-
-
0003183819
-
Pre-testing for linear restrictions in a regression model with spherically symmetric disturbances
-
Giles, J.A. (1991). "Pre-testing for linear restrictions in a regression model with spherically symmetric disturbances," Journal of Econometrics, 50, 377-398.
-
(1991)
Journal of Econometrics
, vol.50
, pp. 377-398
-
-
Giles, J.A.1
-
6
-
-
0347433392
-
An inequality in the condition for improving on an equal-tails confidence interval of normal variance
-
Inaba, T. and Nagata, Y. (1994). "An inequality in the condition for improving on an equal-tails confidence interval of normal variance," Journal of Japan Statistical Society, 24, 181-184.
-
(1994)
Journal of Japan Statistical Society
, vol.24
, pp. 181-184
-
-
Inaba, T.1
Nagata, Y.2
-
7
-
-
84972491735
-
Developments in decision-theoretic variance estimation
-
Maatta, J.M. and Casella. G. (1990). "Developments in decision-theoretic variance estimation," Statistical Science, 5, 90-101.
-
(1990)
Statistical Science
, vol.5
, pp. 90-101
-
-
Maatta, J.M.1
Casella, G.2
-
8
-
-
0010021652
-
Improvements of interval estimations for the variance and the ratio of two variances
-
Nagata, Y. (1989). "Improvements of interval estimations for the variance and the ratio of two variances," Journal of Japan Statistical Society, 19, 151-161.
-
(1989)
Journal of Japan Statistical Society
, vol.19
, pp. 151-161
-
-
Nagata, Y.1
-
9
-
-
0348063754
-
The relationship between the improvement on the point estimation and the improvement on the interval estimation for the disturbance variance in a linear regression model
-
Nagata, Y. (1995). "The relationship between the improvement on the point estimation and the improvement on the interval estimation for the disturbance variance in a linear regression model," Communications in Statistics - Thoery and Methods, 24, 1687-1704.
-
(1995)
Communications in Statistics - Thoery and Methods
, vol.24
, pp. 1687-1704
-
-
Nagata, Y.1
-
10
-
-
0346802768
-
The Neyman accuracy and the Wolfowitz accuracy of the Stein type confidence interval for the disturbance variance
-
Nagata, Y. (1996). "The Neyman accuracy and the Wolfowitz accuracy of the Stein type confidence interval for the disturbance variance," Communications in Statistics - Theory and Methods, 25, 985-1004.
-
(1996)
Communications in Statistics - Theory and Methods
, vol.25
, pp. 985-1004
-
-
Nagata, Y.1
-
11
-
-
38249029834
-
Optimal levels of significance of a pre-test in estimating the disturbance variance after the pre-test for a linear hypothesis on coefficients in a linear regression
-
Ohtani, K. (1988). "Optimal levels of significance of a pre-test in estimating the disturbance variance after the pre-test for a linear hypothesis on coefficients in a linear regression," Economics Letters, 28, 151-156.
-
(1988)
Economics Letters
, vol.28
, pp. 151-156
-
-
Ohtani, K.1
-
12
-
-
0042043001
-
Small sample properties of the interval constrained least squares estimator when error terms have a multivariate a distribution
-
Ohtani, K. (1991). "Small sample properties of the interval constrained least squares estimator when error terms have a multivariate a distribution," Journal of Japan Statistical Society, 21, 197-204.
-
(1991)
Journal of Japan Statistical Society
, vol.21
, pp. 197-204
-
-
Ohtani, K.1
-
13
-
-
0042285728
-
Testing for equality of error variances between two linear regressions with independent multivariate t errors
-
Ohtani, K. (1993a). "Testing for equality of error variances between two linear regressions with independent multivariate t errors," Journal of Quantitative Economics, 9, 85-97.
-
(1993)
Journal of Quantitative Economics
, vol.9
, pp. 85-97
-
-
Ohtani, K.1
-
14
-
-
0011349661
-
The exact distribution and density functions of the Stein-type estimator for normal variance
-
Ohtani, K. (19936). "The exact distribution and density functions of the Stein-type estimator for normal variance," Communications in Statistics - Theory and Methods, 22, 2863-2876.
-
(1993)
Communications in Statistics - Theory and Methods
, vol.22
, pp. 2863-2876
-
-
Ohtani, K.1
-
15
-
-
38249001822
-
Testing linear restrictions on coefficients in a linear regression model with proxy variables and spherically symmetric disturbances
-
Ohtani, K. and Giles, J. (1993). "Testing linear restrictions on coefficients in a linear regression model with proxy variables and spherically symmetric disturbances," Journal of Econometrics, 57, 393-406.
-
(1993)
Journal of Econometrics
, vol.57
, pp. 393-406
-
-
Ohtani, K.1
Giles, J.2
-
16
-
-
21144476695
-
2 in a linear regression model with multivariate t errors and proxy variables
-
2 in a linear regression model with multivariate t errors and proxy variables," Econometric Theory, 9, 504-515.
-
(1993)
Econometric Theory
, vol.9
, pp. 504-515
-
-
Ohtani, K.1
Hasegawa, H.2
-
17
-
-
38249031320
-
Estimation of error variance in linear regression models with errors having multivariate Student-t distribution with unknown degrees of freedom
-
Singh, R.S. (1988). " Estimation of error variance in linear regression models with errors having multivariate Student-t distribution with unknown degrees of freedom," Economics Letters, 27, 47-53.
-
(1988)
Economics Letters
, vol.27
, pp. 47-53
-
-
Singh, R.S.1
-
18
-
-
84985579897
-
James-Stein rule estimators in linear regression models with multivariate-t distributed error
-
Singh, R.S. (1991). "James-Stein rule estimators in linear regression models with multivariate-t distributed error," Australian Journal of Statistics, 33, 145-158.
-
(1991)
Australian Journal of Statistics
, vol.33
, pp. 145-158
-
-
Singh, R.S.1
-
19
-
-
0001703524
-
Inadmissibility of the usual estimator for the variance of a normal distribution with unknown mean
-
Stein, C. (1964). "Inadmissibility of the usual estimator for the variance of a normal distribution with unknown mean," Annals of the Institute of Statistical Mathematics, 16, 155-160.
-
(1964)
Annals of the Institute of Statistical Mathematics
, vol.16
, pp. 155-160
-
-
Stein, C.1
-
20
-
-
0039488749
-
Testing linear hypothesis with t error variable
-
Sutradhar, B.C. (1988). "Testing linear hypothesis with t error variable", Sankyā, Series B 50, 175-180.
-
(1988)
Sankyā, Series B
, vol.50
, pp. 175-180
-
-
Sutradhar, B.C.1
-
21
-
-
84949690361
-
Estimation of the parameter of a regression model with a multivariate t errors variable
-
Sutradhar, B.C. and Ali, M.M. (1986). "Estimation of the parameter of a regression model with a multivariate t errors variable," Communications in Statistics - Theory and Methods, 15, 429-450.
-
(1986)
Communications in Statistics - Theory and Methods
, vol.15
, pp. 429-450
-
-
Sutradhar, B.C.1
Ali, M.M.2
-
22
-
-
0011090196
-
On the robustness of LM, LR, and W tests in regression models
-
Ullah, A. and Zinde-Walsh, V. (1984). "On the robustness of LM, LR, and W tests in regression models," Econometrica, 52, 1055-1066.
-
(1984)
Econometrica
, vol.52
, pp. 1055-1066
-
-
Ullah, A.1
Zinde-Walsh, V.2
-
23
-
-
0000723104
-
Bayesian and non-Bayesian analysis of the regression model with multivariate Student-t error terms
-
Zellner, A. (1976). "Bayesian and non-Bayesian analysis of the regression model with multivariate Student-t error terms," Journal of the American Statistical Association, 71, 400-405.
-
(1976)
Journal of the American Statistical Association
, vol.71
, pp. 400-405
-
-
Zellner, A.1
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