Recognizing distributions rather than goodness-of-fit testing

DOI10.1080/03610918.2020.1812647OpenAlexW3081974368MaRDI QIDQ5055163

Piotr Sulewski

Publication date: 13 December 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2020.1812647

zbMATH Keywords

Monte Carlo methodgoodness-of-fit testk-nearest neighbors rulerecognizing distributionskewness and excess kurtosis

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10)

Related Items (1)

Recognizing distributions using method of potential functions

Cites Work

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• Decision Rules, Based on the Distance, for Problems of Fit, Two Samples, and Estimation
• Equal-bin-width histogram versus equal-bin-count histogram
• A power comparison of various normality tests

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