Estimation and Reconstruction Based on Left Censored Data from Pareto Model

被引：0
|
作者：
Asgharzadeh, A. [1 ]
Mohammadpour, M. [1 ]
Ganji, Z. M. [1 ]
机构：
[1] Univ Mazandaran, Fac Math Sci, Dept Stat, Babol Sar, Iran
来源：
JIRSS-JOURNAL OF THE IRANIAN STATISTICAL SOCIETY | 2014年 / 13卷 / 02期
关键词：
Bayes estimator; best unbiased reconstructor; conditional median reconstructor; highest conditional density; left censoring; maximumlikelihood reconstructor; reconstruction interval;
D O I：
暂无
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 paper, based on a left censored data from the twoparameter Pareto distribution, maximum likelihood and Bayes estimators for the two unknown parameters are obtained. The problem of reconstruction of the past failure times, either point or interval, in the left-censored set-up, is also considered from Bayesian and non-Bayesian approaches. Two numerical examples and a Monte Carlo simulation study are given for illustrative purposes.
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页码：151 / 175
页数：25
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