Goodness-of-Fit Tests for the Birnbaum-Saunders Distribution With Censored Reliability Data

被引：31

作者：

Barros, Michelli ^{[1
]}

Leiva, Victor ^{[2
]}

Ospina, Raydonal ^{[3
]}

Tsuyuguchi, Aline ^{[4
]}

机构：

[1] Univ Fed Campina Grande, Dept Estat, BR-58429970 Campina Grande, Brazil

[2] Univ Valparaiso, Dept Estadist, Valparaiso 2360102, Chile

[3] Univ Fed Pernambuco, Dept Estat, BR-55600000 Recife, PE, Brazil

[4] Univ Sao Paulo, BR-17012 Sao Paulo, Brazil

来源：

IEEE TRANSACTIONS ON RELIABILITY | 2014年 / 63卷 / 02期

关键词：

Anderson-Darling; Cramer-von Mises; Kolmogorov-Smirnov tests; empirical distribution function; hypothesis testing; Monte Carlo simulation; order statistics; type-II censoring; INFLUENCE DIAGNOSTICS; LIFE DISTRIBUTIONS; STATISTICS; FAMILY; MISES; NORMALITY; MIXTURE;

D O I：

10.1109/TR.2014.2313707

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

We propose goodness-of-fit tests for Birnbaum-Saunders distributions with type-II right censored data. Classical goodness-of-fit tests based on the empirical distribution, such as Anderson-Darling, Cramer-von Misses, and Kolmogorov-Smirnov, are adapted to censored data, and evaluated by means of a simulation study. The obtained results are applied to real-world censored reliability data.

引用

页码：543 / 554

页数：12

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