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
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
收藏
页码:181 / +
页数:2
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