Statistical inference for the Burr model based on progressively censored data

被引：78

作者：

Mousa, MAMA ^{[1
]}

Jaheen, ZF ^{[1
]}

机构：

[1] Assiut Univ, Dept Math, Assiut 71516, Egypt

来源：

COMPUTERS & MATHEMATICS WITH APPLICATIONS | 2002年 / 43卷 / 10-11期

关键词：

Burr type XII distribution; Bayesian estimation; progressive samples; Laplace approximation; Monte Carlo simulation;

D O I：

10.1016/S0898-1221(02)00110-4

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Maximum likelihood and Bayes estimates for the two parameters and the reliability function of the Burr Type XII distribution are obtained based on progressive Type II censored samples. An approximation based on the Laplace approximation method developed by Tierney and Kadane [1] and a bivariate prior density for the two unknown parameters, suggested by Al-Hussaini and Jaheen [2] are used for obtaining the Bayes estimates. These estimates are compared via Monte Carlo simulation study. (C) 2002 Elsevier Science Ltd. All rights reserved.

引用

页码：1441 / 1449

页数：9

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