Prediction for Pareto distribution based on progressively Type-II censored samples

被引：60
|
作者：
Raqab, Mohammad Z. [2 ]
Asgharzadeh, A. [1 ]
Valiollahi, R. [3 ]
机构：
[1] Univ Mazandaran, Fac Basic Sci, Dept Stat, Babol Sar 474161407, Iran
[2] Univ Jordan, Dept Math, Amman 11942, Jordan
[3] Semnan Univ, Fac Basic Sci, Dept Stat, Semnan 35195363, Iran
来源：
COMPUTATIONAL STATISTICS & DATA ANALYSIS | 2010年 / 54卷 / 07期
关键词：
Progressive Type-II censoring; Pareto distribution; Best linear unbiased predictor; Maximum likelihood predictor; Prediction interval; Highest conditional density; Monte Carlo simulation; LOGISTIC DISTRIBUTION; INTERVAL ESTIMATION;
D O I：
10.1016/j.csda.2010.02.005
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 different predictors of times to failure of units censored in multiple stages in a progressively censored sample from Pareto distribution The best linear unbiased predictors, maximum likelihood predictors and approximate maximum likelihood predictors are considered We also present two methods for obtaining prediction intervals for the times to failure of units. A numerical simulation study involving two data sets is presented to illustrate the methods of prediction (C) 2010 Elsevier B V All rights reserved
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页码：1732 / 1743
页数：12
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