Two new estimators of entropy for testing normality

DOI10.1080/03610926.2014.942436zbMath1346.62090arXiv1405.0321OpenAlexW2963186459MaRDI QIDQ2817168

Akram Kohansal, Saeid Rezakhah

Publication date: 29 August 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1405.0321

zbMATH Keywords

information theoryranked set samplingtesting normalityentropy estimatormoving average method

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Order statistics; empirical distribution functions (62G30)

Cites Work

• A Mathematical Theory of Communication
• An empirical likelihood ratio based goodness-of-fit test for skew normality
• New features on real zeros of random polynomials
• Ordered ranked set samples and applications to inference
• Two measures of sample entropy
• A maximum entropy type test of fit
• On the goodness-of-fit procedure for normality based on the empirical characteristic function for ranked set sampling data
• On unbiased estimates of the population mean based on the sample stratified by means of ordering
• A new estimator of entropy and its application in testing normality
• Testing exponentiality using transformed data
• Ranked Set Sampling Theory with Order Statistics Background
• Estimation of Variance Using Judgment Ordered Ranked Set Samples
• Entropy-based goodness-of-fit test for exponentiality
• Entropy estimators‐improvements and comparisons
• A new estimator of entropy
• Correcting moments for goodness of fit tests based on two entropy estimates
• A New Ranked Set Sample Estimator of Variance
• MONTE CARLO COMPARISON OF FOUR NORMALITY TESTS USING DIFFERENT ENTROPY ESTIMATES
• Testing normality based on new entropy estimators
• A test for normality based on the empirical characteristic function

This page was built for publication: Two new estimators of entropy for testing normality