A density-based empirical likelihood ratio goodness-of-fit test for the Rayleigh distribution and power comparison

DOI10.1080/00949655.2014.970753OpenAlexW1972235714MaRDI QIDQ5222288

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Publication date: 1 April 2020

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

Full work available at URL: https://doi.org/10.1080/00949655.2014.970753

zbMATH Keywords

goodness-of-fit testRayleigh distributionKolmogorov-Smirnov statisticWatson statisticAnderson-Darling statisticCramer-von Mises statisticdensity-based empirical likelihoodKuiper statistic

Mathematics Subject Classification ID

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

Related Items (6)

Nonparametric probability density functions of entropy estimators applied to testing the Rayleigh distribution ⋮ Empirical likelihood ratio-based goodness-of-fit test for the Laplace distribution ⋮ ENTROPY-BASED AND NON-ENTROPY-BASED GOODNESS OF FIT TEST FOR THE INVERSE RAYLEIGH DISTRIBUTION WITH PROGRESSIVELY TYPE-II CENSORED DATA ⋮ Goodness of fit tests for Rayleigh distribution based on quantiles ⋮ On a new goodness-of-fit test for the Rayleigh distribution based on a conditional expectation characterization ⋮ Goodness of fit test for Rayleigh distribution with censored observations

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