Authors: Dette, Holger
Pepelyshev, Andrey
Title: Efficient experimental designs for sigmoidal growth models
Language (ISO): de
Abstract: For the Weibull- and Richards-regression model robust designs are determined by maximizing a minimum of D- or D1-efficiencies, taken over a certain range of the non-linear parameters. It is demonstrated that the derived designs yield a satisfactory solution of the optimal design problem for this type of model in the sense that these designs are efficient and robust with respect to misspecification of the unknown parameters. Moreover, the designs can also be used for testing the postulated form of the regression model against a simplified sub-model.
Subject Headings: Sigmoidal growth
Weibull regression model
exponential regression model
Richards-regression model
logistic regression model
robust optimal design
goodness-of-fit test
URI: http://hdl.handle.net/2003/21353
http://dx.doi.org/10.17877/DE290R-6731
Issue Date: 2005
Publisher: Universität Dortmund
Appears in Collections:Sonderforschungsbereich (SFB) 475

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