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

被引：0

作者：

Abdalroof M.S. ^{[1
]}

Zhao Zhi-wen ^{[2
]}

Wang De-hui ^{[1
]}

机构：

[1] College of Mathematics, Jilin University

[2] College of Mathematics, Jilin Normal University

来源：

Communications in Mathematical Research | 2014年 / 30卷 / 04期

关键词：

EM-algorithm; maximum likelihood estimation; method of moment; Bayes estimation;

D O I：

10.13447/j.1674-5647.2014.04.08

中图分类号：

O212.1 [一般数理统计];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

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

引用

页码：345 / 357

页数：13

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