-
1
-
-
0023586174
-
Modeling variance heterogeneity in Normal regression using GLIM
-
Aitkin M. Modeling variance heterogeneity in Normal regression using GLIM. Appl. Statist. 36 (1987) 332-339
-
(1987)
Appl. Statist.
, vol.36
, pp. 332-339
-
-
Aitkin, M.1
-
2
-
-
22944461731
-
Some guidelines for using nonparametric methods for modeling data from response surface designs
-
Anderson-Cook C.M., and Prewitt K. Some guidelines for using nonparametric methods for modeling data from response surface designs. J. Modern Appl. Statist. Meth. 4 (2005) 106-119
-
(2005)
J. Modern Appl. Statist. Meth.
, vol.4
, pp. 106-119
-
-
Anderson-Cook, C.M.1
Prewitt, K.2
-
3
-
-
0000065162
-
The statistical analysis of variance heterogeneity and the logarithmic transformation
-
Bartlett M.S., and Kendall D.G. The statistical analysis of variance heterogeneity and the logarithmic transformation. J. Roy. Statist. Soc. Ser. B 8 (1946) 128-138
-
(1946)
J. Roy. Statist. Soc. Ser. B
, vol.8
, pp. 128-138
-
-
Bartlett, M.S.1
Kendall, D.G.2
-
5
-
-
0022660346
-
Dispersion effects from fractional designs
-
Box G.E.P., and Meyer R.D. Dispersion effects from fractional designs. Technometrics 28 (1986) 19-27
-
(1986)
Technometrics
, vol.28
, pp. 19-27
-
-
Box, G.E.P.1
Meyer, R.D.2
-
6
-
-
34548860165
-
-
Einsporn, R., Birch, J.B., 1993. Model robust regression: using nonparametric regression to improve parametric regression analyses. Technical Report 93-5. Department of Statistics, Virginia Polytechnic Institute & State University, Blacksburg, VA.
-
-
-
-
8
-
-
84950447968
-
Local polynomial kernel regression for generalized linear models and quasi-likelihood functions
-
Fan J., Heckman N.E., and Wand M.P. Local polynomial kernel regression for generalized linear models and quasi-likelihood functions. J. Amer. Statist. Assoc. 90 (1995) 141-150
-
(1995)
J. Amer. Statist. Assoc.
, vol.90
, pp. 141-150
-
-
Fan, J.1
Heckman, N.E.2
Wand, M.P.3
-
9
-
-
0001257368
-
Estimating regression functions and their derivatives by the kernel method
-
Gasser T., and Müller H.G. Estimating regression functions and their derivatives by the kernel method. Scand. J. Statist. 11 (1984) 171-185
-
(1984)
Scand. J. Statist.
, vol.11
, pp. 171-185
-
-
Gasser, T.1
Müller, H.G.2
-
10
-
-
0003722376
-
-
Addison-Wesley, Reading, MA
-
Goldberg D.E. Genetic Algorithms in Search, Optimization, and Machine Learning (1989), Addison-Wesley, Reading, MA
-
(1989)
Genetic Algorithms in Search, Optimization, and Machine Learning
-
-
Goldberg, D.E.1
-
11
-
-
0037577779
-
Generalized linear models and process variation
-
Grego J.M. Generalized linear models and process variation. J. Quality Technol. 25 (1993) 288-295
-
(1993)
J. Quality Technol.
, vol.25
, pp. 288-295
-
-
Grego, J.M.1
-
13
-
-
8844240865
-
-
Springer, Berlin
-
Härdle W., Müller M., Sperlichm S., and Werwatz A. Nonparametric and Semiparametric Models (2004), Springer, Berlin
-
(2004)
Nonparametric and Semiparametric Models
-
-
Härdle, W.1
Müller, M.2
Sperlichm, S.3
Werwatz, A.4
-
16
-
-
0013226285
-
Robust design via generalized linear models
-
Lee Y., and Nelder J.A. Robust design via generalized linear models. J. Quality Technol. 35 (2003) 2-12
-
(2003)
J. Quality Technol.
, vol.35
, pp. 2-12
-
-
Lee, Y.1
Nelder, J.A.2
-
17
-
-
1542427460
-
Nonparametric function estimation for clustered data when the predictor is measured without/with error
-
Lin X., and Carroll R.J. Nonparametric function estimation for clustered data when the predictor is measured without/with error. J. Amer. Statist. Assoc. 95 (2000) 520-534
-
(2000)
J. Amer. Statist. Assoc.
, vol.95
, pp. 520-534
-
-
Lin, X.1
Carroll, R.J.2
-
19
-
-
0010409429
-
Model robust regression: combining parametric, nonparametric, and semiparametric methods
-
Mays J., Birch J.B., and Starnes B.A. Model robust regression: combining parametric, nonparametric, and semiparametric methods. J. Nonparametric Statist. 13 (2001) 245-277
-
(2001)
J. Nonparametric Statist.
, vol.13
, pp. 245-277
-
-
Mays, J.1
Birch, J.B.2
Starnes, B.A.3
-
21
-
-
18144371245
-
A dual-response approach to robust parameter design for a generalized linear model
-
Myers W.R., Brenneman W.A., and Myers R.H. A dual-response approach to robust parameter design for a generalized linear model. J. Quality Technol. 37 (2005) 130-138
-
(2005)
J. Quality Technol.
, vol.37
, pp. 130-138
-
-
Myers, W.R.1
Brenneman, W.A.2
Myers, R.H.3
-
22
-
-
0000570382
-
On estimating regression
-
Nadaraya E. On estimating regression. Theory Probab. Appl. 9 (1964) 141-142
-
(1964)
Theory Probab. Appl.
, vol.9
, pp. 141-142
-
-
Nadaraya, E.1
-
23
-
-
34548845660
-
-
Pickle, S.M., Robinson, T.J., Birch, J.B., Anderson-Cook, C.M., 2005. Robust Parameter Design: A Semi-Parametric Approach. Technical Report 05-7. Department of Statistics, Virginia Polytechnic Institute & State University, Blacksburg, VA.
-
-
-
-
25
-
-
34548854319
-
-
Robinson, T.J., Birch, J.B., 2002. Dual model robust regression: robust to model misspecification. Technical Report 02-2. Department of Statistics, Virginia Polytechnic Institute & State University, Blacksburg, VA.
-
-
-
-
28
-
-
0004161838
-
-
Cambridge University Press, Cambridge
-
Vetterling W.T., Teukolsky S.A., Press W.H., and Flannery B.P. Numerical Recipes: Example Book (Fortran). second ed (1992), Cambridge University Press, Cambridge
-
(1992)
Numerical Recipes: Example Book (Fortran). second ed
-
-
Vetterling, W.T.1
Teukolsky, S.A.2
Press, W.H.3
Flannery, B.P.4
-
29
-
-
0032123893
-
Response surfaces for the mean and variance using a nonparametric approach
-
Vining G.G., and Bohn L.L. Response surfaces for the mean and variance using a nonparametric approach. J. Quality Technol. 30 (1998) 282-291
-
(1998)
J. Quality Technol.
, vol.30
, pp. 282-291
-
-
Vining, G.G.1
Bohn, L.L.2
-
30
-
-
0001928204
-
Combining Taguchi and response surface philosophies: a dual response approach
-
Vining G.G., and Myers R.H. Combining Taguchi and response surface philosophies: a dual response approach. J. Quality Technol. 22 (1990) 38-45
-
(1990)
J. Quality Technol.
, vol.22
, pp. 38-45
-
-
Vining, G.G.1
Myers, R.H.2
-
31
-
-
0001762424
-
Smoothing regression analysis
-
Watson G. Smoothing regression analysis. Sankhya Series A 26 (1964) 359-372
-
(1964)
Sankhya Series A
, vol.26
, pp. 359-372
-
-
Watson, G.1
|