A note on the construction of locally D- and DS-optimal designs for the binary logistic model with several explanatory variables

An explicit formulation of D- and DS-optimal designs for the binary logistic regression model in several variables, without interaction between the variables, is presented. The proof of the optimality of the designs is “traditional” in the sense that it invokes the Equivalence Theorem, and builds on the earlier work of Sitter and Torsney (1995b) and Torsney and Gunduz (2001) and complements that given by Yang et al. (2011)

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Year of publication:	2012
Authors:	Kabera, M. Gaëtan ; Haines, Linda M. ; Ndlovu, Principal
Published in:	Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 82.2012, 5, p. 865-870
Publisher:	Elsevier
Subject:	D-optimality \| DS-optimality \| k-variable binary logistic model \| Standardized variance function

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10011039796