Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.12/1809
Título: Statistical power of goodness-of-fit tests based on the empirical distribution function for type-I right-censored data
Autor: Bispo, Regina
Marques, Tiago A.
Pestana, Dinis
Palavras-chave: Censored data
Goodness-of-fit
Lifetime distributions
Power
Type-I censoring
Data: 2012
Editora: Taylor & Francis
Citação: Journal of Satistical Computation and Simulation, 82 (2), 173-181
Resumo: 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.
Peer review: yes
URI: http://hdl.handle.net/10400.12/1809
ISSN: 0094-9655
Aparece nas colecções:MTI - Artigos em revistas internacionais

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