Cramér‐von Mises statistics for discrete distributions with unknown parameters

DOI10.1002/CJS.5550350111zbMath1124.62030OpenAlexW2148555051MaRDI QIDQ5421215

Richard A. Lockhart, John J. Spinelli, Michael A. Stephens

Publication date: 22 October 2007

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.5550350111

zbMATH Keywords

goodness-of-fitempirical distribution functioncomponent

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Order statistics; empirical distribution functions (62G30)

Related Items (4)

A simulation study of a class of nonparametric test statistics: a close look of empirical distribution function-based tests ⋮ Four tests of fit for the beta-binomial distribution ⋮ Tests of fit for the logarithmic distribution ⋮ Goodness-of-fit procedures for compound distributions with an application to insurance

Cites Work

• Distribution of a Sum of Weighted Chi-Square Variables
• The Kolmogorov-Smirnov Goodness-of-Fit Statistic with Discrete and Grouped Data
• Testing fit for the grouped exponential distribution
• Computing the distribution of quadratic forms in normal variables

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