Entropy-based goodness-of-fit tests for the Pareto I distribution

被引：1
|
作者：
Afhami, Bahareh [1 ]
Madadi, Mohsen [1 ]
机构：
[1] Shahid Bahonar Univ Kerman, Fac Math & Comp, Dept Stat, Kerman, Iran
来源：
COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2017年 / 46卷 / 08期
关键词：
Generalized order statistics; Goodness-of-fit test; Maximum likelihood estimation; Pareto I distribution; Shannon entropy; 62G30; 62B10; 62G10; ORDER-STATISTICS;
D O I：
10.1080/03610926.2015.1069350
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, having observed the generalized order statistics in a sample, we construct a test for the hypothesis that the underlying distribution is the Pareto I distribution. The Shannon entropy of generalized order statistics is used to test the null hypothesis.
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页码：3649 / 3666
页数：18
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