New Procedure for Applying the Cramér–von Mises Test for Parametric Families of Distributions

DOI10.1007/978-3-030-76829-4_16zbMath1480.62044OpenAlexW3197026361MaRDI QIDQ5014530

Gennady Martynov

Publication date: 8 December 2021

Published in: Operator Theory and Harmonic Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-030-76829-4_16

zbMATH Keywords

goodness-of-fit testsgamma distributionparametric families of distributionsCramér-von Mises type testshyper normal distribution

Mathematics Subject Classification ID

Parametric hypothesis testing (62F03) Probability distributions: general theory (60E05) Characterization and structure theory of statistical distributions (62E10)

Cites Work

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• Martingale Approach in the Theory of Goodness-of-Fit Tests
• A generalized normal distribution
• On distribution-free goodness-of-fit testing of exponentiality
• Weak convergence and empirical processes. With applications to statistics
• Weak convergence of the sample distribution function when parameters are estimated
• Weighted Cramér-von Mises Test with Estimated Parameters
• On Tests of Normality and Other Tests of Goodness of Fit Based on Distance Methods
• Statistic Distribution Models for Some Nonparametric Goodness-of-Fit Tests in Testing Composite Hypotheses
• Asymptotic Theory of Certain "Goodness of Fit" Criteria Based on Stochastic Processes

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