Data driven versions of pearson's chisquare test for uniformity

DOI10.1080/00949659508811675zbMath0852.62045OpenAlexW2109086387MaRDI QIDQ4869590

Małgorzata Bogdan

Publication date: 26 March 1996

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

Full work available at URL: https://doi.org/10.1080/00949659508811675

zbMATH Keywords

Monte Carlo simulationspowerBICstochastic complexityhistogram density estimatorL2-distanceSchwarz's Bayesian information criterionMDL criterionminimum complexity criteriaPearson's chi-square test for uniformity

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items

A chi-square goodness-of-fit test for continuous distributions against a known alternative, Testing Uniformity Via Log-Spline Modeling, Data driven versions of neyman's test for uniformity based on bayesian rule, Data driven smooth tests for composite hypotheses comparison of powers, Towards data driven selection of a penalty function for data driven Neyman tests, Data driven smooth tests for bivariate normality

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