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.

引用

页码：3649 / 3666

页数：18

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