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.
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页码：181 / +
页数：2
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