Choosing the best φ-divergence goodness-of-fit statistic in multinomial sampling for loglinear models with linear constraints

被引：0
|
作者：
Martin, Nirian
Pardo, Leandro
机构：
[1] Univ Complutense Madrid, Escuela Univ Estadist, E-28040 Madrid, Spain
[2] Univ Complutense Madrid, Fac Matemat, E-28040 Madrid, Spain
来源：
KYBERNETIKA | 2006年 / 42卷 / 06期
关键词：
loglinear models; multinomial sampling; restricted maximum likelihood estimator; goodness-of-fit; I-r-divergence measure; Renyi's divergence measure;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper we present a simulation study to analyze the behavior of the phi-divergence test statistics in the problem of goodness-of-fit for loglinear models with linear constraints and multinomial sampling. We pay special attention to the Renyi's and I-r-divergence measures.
引用
收藏
页码：711 / 722
页数：12
相关论文
共 50 条
12345