Statistical Inference for the Parameter of Rayleigh Distribution Based on Progressively Type-I Interval Censored Sample

被引：1

作者：

Abdalroof M S ^{[1
]}

Zhao Zhi-wen ^{[2
]}

Wang De-hui ^{[1
]}

机构：

[1] School of Mathematics, Jilin University

[2] College of Mathematics, Jilin Normal University

来源：

Communications in Mathematical Research | 2015年 / 31卷 / 02期

关键词：

EM algorithm; maximum likelihood estimation; moment method; Bayes estimation; Rayleigh distribution;

D O I：

10.13447/j.1674-5647.2015.02.02

中图分类号：

O212 [数理统计];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper, the estimation of parameters based on a progressively type-I interval censored sample from a Rayleigh distribution is studied. Different methods of estimation are discussed. They include mid-point approximation estimator, the maximum likelihood estimator, moment estimator, Bayes estimator, sampling adjustment moment estimator, sampling adjustment maximum likelihood estimator and estimator based on percentile. The estimation procedures are discussed in details and compared via Monte Carlo simulations in terms of their biases.

引用

页码：108 / 118

页数：11

共 9 条

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