Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1149989 | Journal of Statistical Planning and Inference | 2008 | 16 Pages |
Abstract
For the Weibull- and Richards-regression model robust designs are determined by maximizing a minimum of D - or D1D1-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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Holger Dette, Andrey Pepelyshev,