Statistic Distribution Models for Some Nonparametric Goodness-of-Fit Tests in Testing Composite Hypotheses

DOI10.1080/03610920903140148zbMath1187.62085OpenAlexW2135812505MaRDI QIDQ3562422

S. N. Postovalov, Boris Yu. Lemeshko, Stanislav B. Lemeshko

Publication date: 21 May 2010

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

Full work available at URL: https://doi.org/10.1080/03610920903140148

zbMATH Keywords

goodness-of-fit testAnderson-Darling testKolmogorov testcomposite hypotheses testingCramer-von~Mises-Smirnov test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Statistical tables (62Q05)

Related Items (6)

Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis ⋮ The new robust two-sample test for randomly right-censored data ⋮ A new estimator of Kullback–Leibler information and its application in goodness of fit tests ⋮ A new estimator of Kullback–Leibler information based on a local linear regression and its application in goodness-of-fit tests ⋮ Models of Statistic Distributions of Nonparametric Goodness-of-Fit Tests in Composite Hypotheses Testing for Double Exponential Law Cases ⋮ New Procedure for Applying the Cramér–von Mises Test for Parametric Families of Distributions

Cites Work

• On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods

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