Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/22604
Authors: 
Dette, Holger
Pepelyshev, Andrey
Year of Publication: 
2005
Series/Report no.: 
Technical Report / Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2005,13
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.
Subjects: 
Sigmoidal growth
Weibull regression model
exponential regression model
Richards-regression model
logistic regression model
Document Type: 
Working Paper

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