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  • Search: subject:"Local optimal"
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Year of publication
Subject
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local optimal design 7 robust designs 5 compound optimal design 4 critical effect size 4 maximin optimal design 4 model discrimination 4 robust design 4 Behrens-Fisher problem 3 bioassay 3 design of experiment 3 D-optimal designs 2 Free knot least squares splines 2 local optimal designs 2 nonlinear models 2 saturated designs 2 Experiment 1 Mathematical programming 1 Mathematische Optimierung 1 Product design 1 Produktgestaltung 1 Robust statistics 1 Robustes Verfahren 1 Theorie 1 Theory 1
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Online availability
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Free 9
Type of publication
All
Book / Working Paper 9
Type of publication (narrower categories)
All
Working Paper 5 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1
Language
All
English 8 Undetermined 1
Author
All
Dette, Holger 9 Pepelyshev, Andrey 6 Shpilev, Piter 4 Wong, Weng Kee 4 Melas, Viatcheslav B. 2 O'Brien, Timothy E. 2 O’Brien, Timothy E. 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 4
Published in...
All
Technical Report 4 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 4 Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 1
Source
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EconStor 4 RePEc 4 ECONIS (ZBW) 1
Showing 1 - 9 of 9
Cover Image
Optimal designs for estimating critical effective dose under model uncertainty in a dose response study
Dette, Holger; Pepelyshev, Andrey; Shpilev, Piter; … - 2009
Toxicologists have been increasingly using a class of models to describe a continuous response in the last few years. This class consists of nested nonlinear models and is used for estimating various parameters in the models or some meaningful function of the model parameters. Our work here is...
Persistent link: https://www.econbiz.de/10010316415
Saved in:
Cover Image
Optimal designs for estimating critical effective dose under model uncertainty in a dose response study
Dette, Holger; Pepelyshev, Andrey; Shpilev, Piter; … - 2009
Toxicologists have been increasingly using a class of models to describe a continuous response in the last few years. This class consists of nested nonlinear models and is used for estimating various parameters in the models or some meaningful function of the model parameters. Our work here is...
Persistent link: https://www.econbiz.de/10010300671
Saved in:
Cover Image
Optimal designs for estimating critical effective dose under model uncertainty in a dose response study
Dette, Holger; Pepelyshev, Andrey; Shpilev, Piter; … - Institut für Wirtschafts- und Sozialstatistik, … - 2009
Toxicologists have been increasingly using a class of models to describe a continuous response in the last few years. This class consists of nested nonlinear models and is used for estimating various parameters in the models or some meaningful function of the model parameters. Our work here is...
Persistent link: https://www.econbiz.de/10009216956
Saved in:
Cover Image
Optimal designs for estimating critical effective dose under model uncertainty in a dose response study
Dette, Holger; Pepelyshev, Andrey; Shpilev, Piter; … - Institut für Wirtschafts- und Sozialstatistik, … - 2009
Toxicologists have been increasingly using a class of models to describe a continuous response in the last few years. This class consists of nested nonlinear models and is used for estimating various parameters in the models or some meaningful function of the model parameters. Our work here is...
Persistent link: https://www.econbiz.de/10009219797
Saved in:
Cover Image
Optimal designs for free knot least squares splines
Dette, Holger; Melas, Viatcheslav B.; Pepelyshev, Andrey - 2006
In this paper D-optimal designs for free knot least squares spline estimation are investigated. In contrast to most of the literature on optimal design for spline regression models it is assumed that the knots of the spline are also estimated from the data, which yields to optimal design...
Persistent link: https://www.econbiz.de/10010296749
Saved in:
Cover Image
Optimal designs for free knot least squares splines
Dette, Holger; Melas, Viatcheslav B.; Pepelyshev, Andrey - Institut für Wirtschafts- und Sozialstatistik, … - 2006
In this paper D-optimal designs for free knot least squares spline estimation are investigated. In contrast to most of the literature on optimal design for spline regression models it is assumed that the knots of the spline are also estimated from the data, which yields to optimal design...
Persistent link: https://www.econbiz.de/10009216931
Saved in:
Cover Image
Efficient experimental design for the Behrens-Fisher problem with application to bioassay
Dette, Holger; O'Brien, Timothy E. - 2003
A common approach in the design of experiment for the problem of comparing two means from a normal distribution is to assume knowledge of the ratio of the population variances. The optimal sampling ratio is proportional to the square root of this quantity. In this paper it is demonstrated that a...
Persistent link: https://www.econbiz.de/10010306267
Saved in:
Cover Image
Efficient experimental design for the Behrens-Fisher problem with application to bioassay
Dette, Holger; O'Brien, Timothy E. - Institut für Wirtschafts- und Sozialstatistik, … - 2003
A common approach in the design of experiment for the problem of comparing two means from a normal distribution is to assume knowledge of the ratio of the population variances. The optimal sampling ratio is proportional to the square root of this quantity. In this paper it is demonstrated that a...
Persistent link: https://www.econbiz.de/10009295182
Saved in:
Cover Image
Efficient experimental design for the Behrens-Fisher problem with application to bioassay
Dette, Holger; O’Brien, Timothy E. - 2003
A common approach in the design of experiment for the problem of comparing two means from a normal distribution is to assume knowledge of the ratio of the population variances. The optimal sampling ratio is proportional to the square root of this quantity. In this paper it is demonstrated that a...
Persistent link: https://www.econbiz.de/10010477495
Saved in:
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