Statistical power of goodness-of-fit tests based on the empirical distribution function for type-I right-censored data

DOI10.1080/00949655.2011.624519zbMath1431.62182OpenAlexW2148305666WikidataQ60559680 ScholiaQ60559680MaRDI QIDQ4913937

Regina Bispo, Dinis Pestana, Tiago A. Marques

Publication date: 17 April 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10400.12/1809

zbMATH Keywords

powergoodness-of-fitcensored datalifetime distributionstype-I-censoring

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Reliability and life testing (62N05)

Cites Work

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• A comparison of uniformity tests
• An empirical power comparison of univariate goodness-of-fit tests for normality
• Jarque–Bera Test and its Competitors for Testing Normality – A Power Comparison
• The Efficiency of Cox's Likelihood Function for Censored Data
• The asymptotic information in censored survival data
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes

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