Reliability estimation in Lindley distribution with progressively type II right censored sample

被引：68

作者：

Krishna, Hare ^{[1
]}

Kumar, Kapil ^{[1
]}

机构：

[1] Chaudhary Charan Singh Univ, Dept Stat, Meerut, Uttar Pradesh, India

来源：

MATHEMATICS AND COMPUTERS IN SIMULATION | 2011年 / 82卷 / 02期

关键词：

Lindley distribution; Reliability and failure rate functions; Progressive type II censoring; Maximum likelihood estimation; Hayes estimates;

D O I：

10.1016/j.matcom.2011.07.005

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper we discuss one parameter Lindley distribution. It is suggested that it may serve as a useful reliability model. The model properties and reliability measures are derived and studied in detail. For the estimation purposes of the parameter and other reliability characteristics maximum likelihood and Bayes approaches are used. Interval estimation and coverage probability for the parameter are obtained based on maximum likelihood estimation. Monte Carlo simulation study is conducted to compare the performance of the various estimates developed. In view of cost and time constraints, progressively Type II censored sample data are used in estimation. A real data example is given for illustration. (C) 2011 IMACS. Published by Elsevier B.V. All rights reserved.

引用

页码：281 / 294

页数：14

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