Random Weighting Empirical Distribution Function and its Applications to Goodness-of-Fit Testing

DOI10.1080/03610918.2013.835408zbMath1328.62266OpenAlexW2014833067MaRDI QIDQ5265801

Kai Xu, Xingzhong Xu, Dao-Jiang He

Publication date: 29 July 2015

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

Full work available at URL: https://doi.org/10.1080/03610918.2013.835408

zbMATH Keywords

goodness-of-fit testEDFrandom weightingpower performance

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (1)

EDF goodness-of-fit tests based on centre-outward ordering

Cites Work

• The \(\delta\)-corrected Kolmogorov-Smirnov test for goodness of fit
• A large sample study of the Bayesian bootstrap
• Negative association of random variables, with applications
• Approximation by random weighting method for M-test in linear models
• Asymptotic Minimax Character of the Sample Distribution Function and of the Classical Multinomial Estimator
• The Supremum and Infimum of the Poisson Process
• The Δ-corrected kolmogorov-smirnov test with estimated parameters
• Generalizations of the delta-Corrected Kolmogorov-Smirnov Goodness-of-Fit Test
• Some Concepts of Dependence
• Some Minimax Invariant Procedures for Estimating a Cumulative Distribution Function

This page was built for publication: Random Weighting Empirical Distribution Function and its Applications to Goodness-of-Fit Testing