ON PROGRESSIVE TYPE-I INTERVAL CENSORED UNDER MIXED MODEL

被引：0
|
作者：
Afify, W. M. [1 ]
Abdelhady, Dina H. [2 ]
机构：
[1] Kafr El Sheikh Univ, Fac Commerce, Stat Math & Insurance Dept, Kafrelsheikh, Egypt
[2] Tanta Univ, Fac Commerce, Tanta, Egypt
来源：
ADVANCES AND APPLICATIONS IN STATISTICS | 2019年 / 57卷 / 01期
关键词：
finite mixture; type I progressively interval censored; exponential distribution; maximum likelihood estimation; Bayesian estimation; expected duration; Monte Carlo simulations; Markov chain Monte Carlo simulations; RELIABILITY SAMPLING PLANS; EXPONENTIAL-DISTRIBUTION; PARAMETERS; MIXTURE; LIFE; DISTRIBUTIONS;
D O I：
10.17654/AS057010061
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
In this article, based on progressively Type-I interval censored samples from a heterogeneous population that can be represented by a finite mixture of two component exponential lifetime model; the problem is estimating the parameters. The purpose of this study is to investigate and compare the behavior of expected duration to proposed Bayesian estimations for cases of inspection intervals in modeling a progressive type-I interval lifetime data. The formulas to compute the expected duration with using different inspection intervals are given. Bayesian estimates are compared with the maximum likelihood estimates by using the Markov chain Monte Carlo simulations MCMC and Markov chain simulations respectively.
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页码：61 / 87
页数：27
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