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Dette, Holger (1994) Robust designs for multivariate polynomial regression on the d-cube. Journal of Statistical Planning and Inference, 38 (1). 105-124 doi:10.1016/0378-3758(92)00153-u

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Reference TypeJournal (article/letter/editorial)
TitleRobust designs for multivariate polynomial regression on the d-cube
JournalJournal of Statistical Planning and Inference
AuthorsDette, HolgerAuthor
Year1994 (January)Volume38
Issue1
PublisherElsevier BV
DOIdoi:10.1016/0378-3758(92)00153-uSearch in ResearchGate
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Mindat Ref. ID9309875Long-form Identifiermindat:1:5:9309875:5
GUID0
Full ReferenceDette, Holger (1994) Robust designs for multivariate polynomial regression on the d-cube. Journal of Statistical Planning and Inference, 38 (1). 105-124 doi:10.1016/0378-3758(92)00153-u
Plain TextDette, Holger (1994) Robust designs for multivariate polynomial regression on the d-cube. Journal of Statistical Planning and Inference, 38 (1). 105-124 doi:10.1016/0378-3758(92)00153-u
In(1994, January) Journal of Statistical Planning and Inference Vol. 38 (1) Elsevier BV

See Also

These are possibly similar items as determined by title/reference text matching only.

Dette, Holger (1991) A note on robust designs for polynomial regression. Journal of Statistical Planning and Inference, 28 (2). 223-232 doi:10.1016/0378-3758(91)90027-c
Dette, Holger (1993) On a mixture of the D- and D1-optimality criterion in polynomial regression. Journal of Statistical Planning and Inference, 35 (2). 233-249 doi:10.1016/0378-3758(93)90047-a
Antille, Gérard, Dette, Holger, Weinberg, Anna (2003) A note on optimal designs in weighted polynomial regression for the classical efficiency functions. Journal of Statistical Planning and Inference, 113 (1). 285-292 doi:10.1016/s0378-3758(01)00288-9
Müller, Christine (1994) Optimal designs for robust estimation in conditionally contaminated linear models. Journal of Statistical Planning and Inference, 38 (1). 125-139 doi:10.1016/0378-3758(92)00155-w
Dette, Holger, Melas, Viatcheslav B., Pepelyshev, Andrey (2004) Optimal designs for estimating individual coefficients in polynomial regression—a functional approach. Journal of Statistical Planning and Inference, 118 (1). 201-219 doi:10.1016/s0378-3758(02)00397-x
Heiligers, Berthold (1992) Admissible experimental designs in multiple polynomial regression. Journal of Statistical Planning and Inference, 31 (2). 219-233 doi:10.1016/0378-3758(92)90031-m
Dette, Holger, Neugebauer, H.-M. (1997) Bayesian D-optimal designs for exponential regression models. Journal of Statistical Planning and Inference, 60 (2). 331-349 doi:10.1016/s0378-3758(96)00131-0
Wiens, Douglas P. (1994) Robust designs for approximately linear regression: M-estimated parameters. Journal of Statistical Planning and Inference, 40 (1). 135-160 doi:10.1016/0378-3758(94)90147-3
Notz, W. (1981) Saturated designs for multivariate cubic regression. Journal of Statistical Planning and Inference, 5 (1). 37-43 doi:10.1016/0378-3758(81)90049-5
Dette, Holger, Neugebauer, H.-M. (1996) Bayesian optimal one point designs for one parameter nonlinear models. Journal of Statistical Planning and Inference, 52 (1). 17-31 doi:10.1016/0378-3758(95)00104-2
Heiligers, Berthold (1996) Computing E-optimal polynomial regression designs. Journal of Statistical Planning and Inference, 55 (2). 219-233 doi:10.1016/0378-3758(95)00190-5
 
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