Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Efficient experimental designs for sigmoidal growth models

Dette, H. and Pepelyshev, Andrey ORCID: 2008. Efficient experimental designs for sigmoidal growth models. Journal of Statistical Planning and Inference 138 (1) , pp. 2-17. 10.1016/j.jspi.2007.05.027

Full text not available from this repository.


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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Subjects: Q Science > QA Mathematics
Uncontrolled Keywords: Sigmoidal growth; Weibull regression model; Exponential regression model; Richards-regression model; Logistic regression model; Robust optimal design; Goodness-of-fit test
Publisher: Elsevier
ISSN: 03783758
Last Modified: 24 Oct 2022 11:42

Citation Data

Cited 24 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item