Models of Statistic Distributions of Nonparametric Goodness-of-Fit Tests in Composite Hypotheses Testing for Double Exponential Law Cases

DOI10.1080/03610926.2011.562770zbMath1227.62031OpenAlexW2077611299MaRDI QIDQ3098925

Boris Yu. Lemeshko, Stanislav B. Lemeshko

Publication date: 18 November 2011

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2011.562770

zbMATH Keywords

Anderson-Darling testKolmogorov testCramer-von Mises-Smirnov test

Mathematics Subject Classification ID

Related Items (3)

Software System for Simulation and Research of Probabilistic Regularities and Statistical Data Analysis in Reliability and Quality Control ⋮ Different EDF goodness-of-fit tests for competing risks models ⋮ A new estimator of Kullback–Leibler information and its application in goodness of fit tests

Cites Work

• Unnamed Item
• Probability distributions of the Kolmogorov and omega-square statistics for continuous distributions with shift and scale parameters
• A variant of the generalized omega-square statistic
• Weak convergence of the sample distribution function when parameters are estimated
• On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods
• The Kolmogorov-Smirnov, Cramer-von Mises Tests
• Statistic Distribution Models for Some Nonparametric Goodness-of-Fit Tests in Testing Composite Hypotheses
• Kolmogorov-Smirnov tests when parameters are estimated with applications to tests of exponentiality and tests on spacings
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes
• A Test of Goodness of Fit
• The Cramer-Smirnov Test in the Parametric Case

This page was built for publication: Models of Statistic Distributions of Nonparametric Goodness-of-Fit Tests in Composite Hypotheses Testing for Double Exponential Law Cases