Data driven efficient score tests for Poissonity

DOI10.19195/0208-4147.39.1.8zbMath1422.62162OpenAlexW3012391946MaRDI QIDQ5227571

Tadeusz Inglot

Publication date: 6 August 2019

Published in: Probability and Mathematical Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.19195/0208-4147.39.1.8

zbMATH Keywords

Monte Carlo studymodel selectionPoisson distributiongoodness-of-fit testdata driven test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Order statistics; empirical distribution functions (62G30) Monte Carlo methods (65C05)

Related Items (1)

Characterizations of non-normalized discrete probability distributions and their application in statistics

Cites Work

• A class of count models and a new consistent test for the Poisson distribution
• Estimating the dimension of a model
• Data driven smooth tests for composite hypotheses
• Recent and classical goodness-of-fit tests for the Poisson distribution
• Goodness of fit for the Poisson distribution
• How powerful are data driven score tests for uniformity
• Use of an empirical probability generating function for testing a Poisson model
• On Charlier polynomials in testing Poissonity
• An exact Kolmogorov–Smirnov test for the Poisson distribution with unknown mean
• Smooth Tests for the Zero‐Inflated Poisson Distribution
• Goodness-of-fit tests for discrete models based on the integrated distribution function.

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