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Year of publication
Subject
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Behrens-Fisher problem 3 Theorie 3 Theory 3 bioassay 3 design of experiment 3 local optimal design 3 robust designs 3 Experiment 2 Product design 2 Produktgestaltung 2 Designer 1 Designers 1 Mathematical programming 1 Mathematische Optimierung 1 Robust statistics 1 Robustes Verfahren 1
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Online availability
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Free 4 Undetermined 1
Type of publication
All
Book / Working Paper 5 Article 1
Type of publication (narrower categories)
All
Working Paper 2 Arbeitspapier 1 Forschungsbericht 1 Graue Literatur 1 Non-commercial literature 1
Language
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English 5 Undetermined 1
Author
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O'Brien, Timothy E. 5 Dette, Holger 4 Goos, Peter 2 Vandebroek, Martina 2 Kobilinsky, Andre 1 Kobilinsky, André 1 O’Brien, Timothy E. 1
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Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Published in...
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Technical report / Sonderforschungsbereich 475 Komplexitätsreduktion in Multivariaten Datenstrukturen, Universität Dortmund 2 Computational Statistics & Data Analysis 1 Research report / Katholieke Universiteit Leuven, Faculty of Economics and Applied Economics, Department of Applied Economics 1 Technical Report 1 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 1
Source
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ECONIS (ZBW) 3 RePEc 2 EconStor 1
Showing 1 - 6 of 6
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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
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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
Persistent link: https://www.econbiz.de/10001813142
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:
Cover Image
Model-robust and model-sensitive designs
Goos, Peter; Kobilinsky, Andre; O'Brien, Timothy E.; … - In: Computational Statistics & Data Analysis 49 (2005) 1, pp. 201-216
Persistent link: https://www.econbiz.de/10005081751
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Cover Image
Model-robust and model-sensitive designs
Goos, Peter; Kobilinsky, André; O'Brien, Timothy E.; … - 2002
Persistent link: https://www.econbiz.de/10001723134
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