Bayesian Ds-optimal designs for generalized linear models with varying dispersion parameter

被引：1

作者：

Pinto, Edmilson Rodrigues ^{[1
]}

de Leon, Antonio Ponce ^{[2
]}

机构：

[1] Univ Fed Uberlandia, Dept Math, Av Joao Naves Avila 2121, BR-38400 Uberlandia, MG, Brazil

[2] Univ Estado Rio De Janeiro, Inst Social Med, Dept Epidemiol, BR-20550 Rio De Janeiro, Brazil

来源：

MODA 8 - ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS | 2007年

关键词：

D-s-optimum designs; Bayesian designs; extended quasi-likelihood;

D O I：

10.1007/978-3-7908-1952-6_23

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

In this article we extend the theory of optimum designs for generalized linear models, addressing the optimality of designs for parameter estimation in a location-dispersion model when either not all p parameters in the mean model or not all q parameters in the dispersion model are of interest. The criterion of Bayesian D-s-optimality is adopted and its properties are derived. The theory is illustrated with an example from the coffee industry.

引用

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页码：181 / +

页数：2

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