Entropy estimation and goodness-of-fit tests for the inverse Gaussian and Laplace distributions using paired ranked set sampling

DOI10.1080/00949655.2015.1109097OpenAlexW2283084601MaRDI QIDQ5222476

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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/10.1080/00949655.2015.1109097

zbMATH Keywords

entropyinverse Gaussian distributiongoodness-of-fit testsimple random samplingLaplace distributionroot mean square errorpaired ranked set sampling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (7)

A comprehensive empirical power comparison of univariate goodness-of-fit tests for the Laplace distribution ⋮ Shannon's Entropy and Its Generalisations Towards Statistical Inference in Last Seven Decades ⋮ A new sampling method for estimating the population mean ⋮ Unnamed Item ⋮ Estimation of the Parameters of the New Weibull-Pareto Distribution Using Ranked Set Sampling ⋮ EDF-based tests of exponentiality in pair ranked set sampling ⋮ Unnamed Item

Cites Work

• A Mathematical Theory of Communication
• Estimation of entropy using random sampling
• Two measures of sample entropy
• An entropy characterization of the inverse Gaussian distribution and related goodness-of-fit test
• Goodness of fit test for the generalized Rayleigh distribution with unknown parameters
• Efficiency of ranked set sampling in entropy estimation and goodness-of-fit testing for the inverse Gaussian law
• A new estimator of entropy
• Pair Rank Set Sampling
• Correcting moments for goodness of fit tests based on two entropy estimates
• Order Statistics
• Testing goodness-of-fit for Laplace distribution based on maximum entropy
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