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Statistical power of goodness-of-fit tests based on the empirical distribution function for type-I right-censored data
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Orientador(es)
Resumo(s)
In this study, the power of common goodness-of-fit (GoF) statistics based on the empirical distribution
function (EDF) was simulated for single type-I right-censored data. The statistical power of the
Kolmogorov–Smirnov, Cramér–von Mises and Anderson–Darling statistics was investigated by varying
the null and the alternative distributions, the sample size, the degree of censoring and the significance
level. The exponential,Weibull, log-logistic and log-normal lifetime distributions were considered as they
are among the most frequently distributions used when modelling censored data. We conclude by giving
some general recommendations for testing the distributional assumption of parametric survival models in
homogeneous populations when using EDF-based GoF statistics.
Descrição
Palavras-chave
Censored data Goodness-of-fit Lifetime distributions Power Type-I censoring
Contexto Educativo
Citação
Journal of Satistical Computation and Simulation, 82 (2), 173-181