Predictions for Progressively Type-II Censored Failure Times from the Half Triangle Distribution

被引：2

作者：

Seo, Jung-In ^{[1
]}

Kang, Suk-Bok ^{[1
]}

机构：

[1] Yeungnam Univ, Dept Stat, Gyongsan 712749, South Korea

来源：

COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS | 2014年 / 21卷 / 01期

关键词：

Approximate maximum likelihood predictor; Approximate predictive maximum likelihood estimator; Half triangle distribution; Prediction interval; Progressively Type-II censored sample;

D O I：

10.5351/CSAM.2014.21.1.093

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：

This paper deals with the problem of predicting censored data in a half triangle distribution with an unknown parameter based on progressively Type-II censored samples. We derive maximum likelihood predictors and some approximate maximum likelihood predictors of censored failure times in a progressively Type-II censoring scheme. In addition, we construct the shortest-length predictive intervals for censored failure times. Finally, Monte Carlo simulations are used to assess the validity of the proposed methods.

引用

页码：93 / 103

页数：11

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