Composite Likelihood Methods Based on Minimum Density Power Divergence Estimator

被引:6
|
作者
Castilla, Elena [1 ]
Martin, Nirian [2 ]
Pardo, Leandro [1 ]
Zografos, Konstantinos [3 ]
机构
[1] Univ Complutense Madrid, Dept Stat & OR 1, Madrid 28040, Spain
[2] Univ Complutense Madrid, Dept Stat & OR 2, Madrid 28003, Spain
[3] Univ Ioannina, Dept Math, GR-45110 Ioannina, Greece
来源
ENTROPY | 2018年 / 20卷 / 01期
关键词
composite likelihood; maximum composite likelihood estimator; Wald test statistic; composite minimum density power divergence estimator; Wald-type test statistics; ROBUST;
D O I
10.3390/e20010018
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, a robust version of the Wald test statistic for composite likelihood is considered by using the composite minimum density power divergence estimator instead of the composite maximum likelihood estimator. This new family of test statistics will be called Wald-type test statistics. The problem of testing a simple and a composite null hypothesis is considered, and the robustness is studied on the basis of a simulation study. The composite minimum density power divergence estimator is also introduced, and its asymptotic properties are studied.
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页数:20
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