文章基本信息

标题：Different goodness of fit tests for Rayleigh distribution in ranked set sampling
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作者：Amer Al-Omari ; Ehsan Zamanzade
期刊名称：Pakistan Journal of Statistics and Operation Research
印刷版ISSN：2220-5810
出版年度：2016
卷号：12
期号：1
页码：25-39
DOI：10.18187/pjsor.v12i1.1072
语种：English
出版社：College of Statistical and Actuarial Sciences
摘要：In this paper, different goodness of fit tests for the Rayleigh distribution are considered based on simple random sampling (SRS) and ranked set sampling (RSS) techniques. The performance of the suggested estimators is evaluated in terms of the power of the tests by using Monte Carlo simulation. It is found that the suggested RSS tests perform better than their counterparts in SRS.
其他摘要：In this paper, different goodness of fit tests for the Rayleigh distribution are considered based on simple random sampling (SRS) and ranked set sampling (RSS) techniques. The performance of the suggested estimators is evaluated in terms of the power of the tests by using Monte Carlo simulation. It is found that the suggested RSS tests perform better than their counterparts in SRS.
关键词：Goodness of fit tests;simple random sampling;ranked set sampling;Kullback-Leibler information;Critical values;Rayleigh distribution