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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
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.
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页码:543 / 554
页数:12
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