Power Maps in Goodness-of-fit Testing Based on Censored Samples

DOI10.1080/03610918.2013.839034zbMath1327.62285OpenAlexW1988315739MaRDI QIDQ2943803

Udo Kamps, Tim Fischer

Publication date: 4 September 2015

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2013.839034

zbMATH Keywords

Monte Carlo simulationgoodness-of-fit teststype-II censoringpower studytransformation of order statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Censored data models (62N01) Order statistics; empirical distribution functions (62G30)

Cites Work

• Unnamed Item
• On the existence of transformations preserving the structure of order statistics in lower dimensions
• A goodness of fit test for the Pareto distribution in the presence of type II censoring, based on the cumulative hazard function
• Chi-square tests of fit for type II censored data
• Power maps in goodness-of-fit testing
• A New Goodness-of-Fit Test for Censored Data with an Application in Monitoring Processes
• Random Contraction and Random Dilation of Generalized Order Statistics
• GOODNESS OF FIT STATISTICS BASED ON THE SPACINGS OF COMPLETE OR CENSORED SAMPLES
• Correlation type gogdness-of-fit statistics with censored sampling
• Switching Order Statistics through Random Power Contractions
• On goodness of fit tests based on spacings for type ii censored samples
• A goodness of pit test for censored data
• Structure-preserving mappings of uniform order statistics
• Goodness-of-fit tests on a circle
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes

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