An exact Kolmogorov–Smirnov test for the Poisson distribution with unknown mean

DOI10.1080/00949655.2011.563740zbMath1431.62187OpenAlexW2075798040MaRDI QIDQ5300797

Jesse C. Frey

Publication date: 28 June 2013

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2011.563740

zbMATH Keywords

multinomial distributiongoodness of fitconditional testCramér-von Mises statistics

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (3)

Characterizations of non-normalized discrete probability distributions and their application in statistics ⋮ On goodness of fit tests for the Poisson, negative binomial and binomial distributions ⋮ Data driven efficient score tests for Poissonity

Cites Work

• Recent and classical goodness-of-fit tests for the Poisson distribution
• Goodness of fit for discrete random variables using the conditional density
• Use of the Gibbs Sampler to Obtain Conditional Tests, with Applications
• On the K<scp>OLMOGOROV</scp>‐S<scp>MIRNOV</scp> Test for the P<scp>OISSON</scp> Distribution with Unknown Mean
• Cramér‐von Mises tests of fit for the Poisson distribution
• Empirical‐distribution‐function goodness‐of‐fit tests for discrete models
• On the Conditional Distribution of Goodness-of-Fit Tests
• THE PROBABILITY INTEGRAL TRANSFORMATION WHEN PARAMETERS ARE ESTIMATED FROM THE SAMPLE

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