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 |
Provenance: | Universität Dortmund |
Appears in Collections: | Sonderforschungsbereich (SFB) 475 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
13_05.pdf | DNB | 193.56 kB | Adobe PDF | View/Open |
13_05.ps | 354.89 kB | Postscript | View/Open |
This item is protected by original copyright |
This item is protected by original copyright rightsstatements.org