-
2
-
-
0000322393
-
Planning experiments to detect inadequate regression models
-
Atkinson A.C. Planning experiments to detect inadequate regression models. Biometrika 59 (1972) 275-293
-
(1972)
Biometrika
, vol.59
, pp. 275-293
-
-
Atkinson, A.C.1
-
3
-
-
0001376599
-
Planning experiments for discriminating between models
-
Atkinson A.C., and Cox D.R. Planning experiments for discriminating between models. J. Roy. Statist. Soc., Ser. B 36 (1974) 321-348
-
(1974)
J. Roy. Statist. Soc., Ser. B
, vol.36
, pp. 321-348
-
-
Atkinson, A.C.1
Cox, D.R.2
-
5
-
-
85041935631
-
The design of experiments for discriminating between two rival models
-
Atkinson A.C., and Fedorov V.V. The design of experiments for discriminating between two rival models. Biometrika 62 (1975) 57-70
-
(1975)
Biometrika
, vol.62
, pp. 57-70
-
-
Atkinson, A.C.1
Fedorov, V.V.2
-
6
-
-
0016706915
-
Optimal design: experiments for discriminating between several models
-
Atkinson A.C., and Fedorov V.V. Optimal design: experiments for discriminating between several models. Biometrika 62 (1975) 289-303
-
(1975)
Biometrika
, vol.62
, pp. 289-303
-
-
Atkinson, A.C.1
Fedorov, V.V.2
-
7
-
-
24944582210
-
An efficient design for model discrimination and parameter estimation in linear models
-
Biswas A., and Chaudhuri P. An efficient design for model discrimination and parameter estimation in linear models. Biometrika 89 3 (2002) 709-718
-
(2002)
Biometrika
, vol.89
, Issue.3
, pp. 709-718
-
-
Biswas, A.1
Chaudhuri, P.2
-
8
-
-
0035516498
-
Comparison of design optimality criteria of reduced models for response surface designs in the hypercube
-
Borkowski J.J., and Valeroso E.S. Comparison of design optimality criteria of reduced models for response surface designs in the hypercube. Technometrics 43 (2001) 468-477
-
(2001)
Technometrics
, vol.43
, pp. 468-477
-
-
Borkowski, J.J.1
Valeroso, E.S.2
-
9
-
-
84909574881
-
A basis for the selection of a response surface design
-
Box G.E.P., and Draper N.R. A basis for the selection of a response surface design. J. Amer. Statist. Assoc. 54 (1959) 622-653
-
(1959)
J. Amer. Statist. Assoc.
, vol.54
, pp. 622-653
-
-
Box, G.E.P.1
Draper, N.R.2
-
10
-
-
0022659311
-
An analysis for unreplicated fractional factorials
-
Box G.E.P., and Meyer R.D. An analysis for unreplicated fractional factorials. Technometrics 28 1 (1986) 11-18
-
(1986)
Technometrics
, vol.28
, Issue.1
, pp. 11-18
-
-
Box, G.E.P.1
Meyer, R.D.2
-
11
-
-
0003123905
-
Finding the active factors in fractionated screening experiments
-
Box G.E.P., and Meyer R.D. Finding the active factors in fractionated screening experiments. J. Quality Tech. 25 (1993) 94-105
-
(1993)
J. Quality Tech.
, vol.25
, pp. 94-105
-
-
Box, G.E.P.1
Meyer, R.D.2
-
12
-
-
0346664343
-
Model robust designs
-
Ghosh S., and Rao C.R. (Eds), Elsevier Science, New York
-
Chang Y.-J., and Notz W.I. Model robust designs. In: Ghosh S., and Rao C.R. (Eds). Handbook of Statistics vol. 13 (1996), Elsevier Science, New York 1055-1098
-
(1996)
Handbook of Statistics
, vol.13
, pp. 1055-1098
-
-
Chang, Y.-J.1
Notz, W.I.2
-
13
-
-
0010547282
-
A new look at experimental design robustness
-
DeFeo P., and Myers R.H. A new look at experimental design robustness. Biometrika 79 (1992) 375-380
-
(1992)
Biometrika
, vol.79
, pp. 375-380
-
-
DeFeo, P.1
Myers, R.H.2
-
14
-
-
84952107777
-
A simple Bayesian modification of D-optimal designs to reduce dependence on an assumed model
-
DuMouchel W., and Jones B. A simple Bayesian modification of D-optimal designs to reduce dependence on an assumed model. Technometrics 36 (1994) 37-47
-
(1994)
Technometrics
, vol.36
, pp. 37-47
-
-
DuMouchel, W.1
Jones, B.2
-
15
-
-
2242466771
-
Integer-valued, minimax robust designs for estimation and extrapolation in heteroscedastic, approximately linear models
-
Fang Z., and Wiens D.P. Integer-valued, minimax robust designs for estimation and extrapolation in heteroscedastic, approximately linear models. J. Amer. Statist. Assoc. 95 (2000) 807-818
-
(2000)
J. Amer. Statist. Assoc.
, vol.95
, pp. 807-818
-
-
Fang, Z.1
Wiens, D.P.2
-
16
-
-
0041382633
-
Robust regression designs for approximate polynomial models
-
Fang Z., and Wiens D.P. Robust regression designs for approximate polynomial models. J. Statist. Plann. Inference 17 (2003) 305-321
-
(2003)
J. Statist. Plann. Inference
, vol.17
, pp. 305-321
-
-
Fang, Z.1
Wiens, D.P.2
-
18
-
-
13644266456
-
Model-robust and model-sensitive designs
-
Goos P., Kobilinsky A., O'Brien T.E., and Vandebroek M. Model-robust and model-sensitive designs. Comput. Statist. Data Anal. 49 1 (2005) 201-216
-
(2005)
Comput. Statist. Data Anal.
, vol.49
, Issue.1
, pp. 201-216
-
-
Goos, P.1
Kobilinsky, A.2
O'Brien, T.E.3
Vandebroek, M.4
-
19
-
-
1042269264
-
Model-robust optimal designs: a genetic algorithm approach
-
Heredia-Langner A., Montgomery D.C., Carlyle W.M., and Borror C.M. Model-robust optimal designs: a genetic algorithm approach. J. Quality Tech. 36 3 (2004) 263-279
-
(2004)
J. Quality Tech.
, vol.36
, Issue.3
, pp. 263-279
-
-
Heredia-Langner, A.1
Montgomery, D.C.2
Carlyle, W.M.3
Borror, C.M.4
-
20
-
-
0018120178
-
Design criteria for detecting model inadequacy
-
Jones E.R., and Mitchell T.J. Design criteria for detecting model inadequacy. Biometrika 65 3 (1978) 541-551
-
(1978)
Biometrika
, vol.65
, Issue.3
, pp. 541-551
-
-
Jones, E.R.1
Mitchell, T.J.2
-
21
-
-
0034349290
-
Bayesian two-stage optimal design for mixture models
-
Lin H., Myers R.H., and Ye K. Bayesian two-stage optimal design for mixture models. J. Statist. Comput. Simulation 66 (2000) 209-231
-
(2000)
J. Statist. Comput. Simulation
, vol.66
, pp. 209-231
-
-
Lin, H.1
Myers, R.H.2
Ye, K.3
-
23
-
-
0346544672
-
A two-stage strategy for the construction of D-optimal experimental designs
-
Montepiedra G., and Yeh A.B. A two-stage strategy for the construction of D-optimal experimental designs. Comm. Statist. Simulation Comput. 27 2 (1998) 377-401
-
(1998)
Comm. Statist. Simulation Comput.
, vol.27
, Issue.2
, pp. 377-401
-
-
Montepiedra, G.1
Yeh, A.B.2
-
24
-
-
33750352470
-
-
Montepiedra, G., Yeh, A.B., 2002. Two-stage designs for estimation and identification of polynomial models. Technical Report, Department of Applied Statistics and Operations Research, Bowling Green State University, USA.
-
-
-
-
26
-
-
33750369889
-
-
Neff, A., 1996. Bayesian two-stage designs under model uncertainty. Ph.D. Dissertation, Virginia Polytechnic and State University, Virginia.
-
-
-
-
27
-
-
8344222963
-
Bayesian sequential D-D optimal model-robust designs
-
Ruggoo A., and Vandebroek M. Bayesian sequential D-D optimal model-robust designs. Comput. Statist. Data Anal. 47 4 (2004) 655-673
-
(2004)
Comput. Statist. Data Anal.
, vol.47
, Issue.4
, pp. 655-673
-
-
Ruggoo, A.1
Vandebroek, M.2
-
28
-
-
0021428040
-
Experimental design: review and comment
-
Steinberg D., and Hunter W. Experimental design: review and comment. Technometrics 26 (1984) 71-97
-
(1984)
Technometrics
, vol.26
, pp. 71-97
-
-
Steinberg, D.1
Hunter, W.2
-
29
-
-
0000536027
-
Some robust-type D-optimal design in polynomial regression
-
Studden W.J. Some robust-type D-optimal design in polynomial regression. J. Amer. Statist. Assoc. 77 (1982) 916-921
-
(1982)
J. Amer. Statist. Assoc.
, vol.77
, pp. 916-921
-
-
Studden, W.J.1
|