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

被引：28
|
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
收藏
页码：543 / 554
页数：12
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