Goodness-of-fit tests based on Verma Kullback-Leibler information

被引:1
|
作者
Bitaraf, M. [1 ]
Rezaei, M. [2 ]
Yousefzadeh, F. [2 ]
机构
[1] Islamic Azad Univ, Maybod Branch, Dept Engn, Maybod, Iran
[2] Univ Birjand, Sch Math Sci & Stat, Dept Stat, Birjand, Iran
关键词
Entropy estimator; Goodness-of-fit tests; Verma entropy; Verma Kullback-Leibler information;
D O I
10.1080/03610926.2017.1291970
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this article, a new consistent estimator of Veram's entropy is introduced. We establish the entropy test based on the new information namely Verma Kullback-Leibler discrimination methodology. The results are used to introduce goodness-of-fit tests for normal and exponential distributions. The root of mean square errors, critical values, and powers for some alternatives are obtained by simulation. The proposed test is compared with other tests.
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页码:12152 / 12164
页数:13
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