Simulation Study on Improved Shapiro–Wilk Tests for Normality

DOI10.1080/03610918.2013.844835zbMath1462.62338OpenAlexW2068699266MaRDI QIDQ2876128

Joanna Tarasińska, Zofia Hanusz

Publication date: 18 August 2014

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

Full work available at URL: https://doi.org/10.1080/03610918.2013.844835

zbMATH Keywords

powerHenze-Zirkler testtesting normalityempirical significance levelSrivastava-Hui test

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Hypothesis testing in multivariate analysis (62H15)

Related Items (1)

On a test of normality based on the empirical moment generating function

Cites Work

• Unnamed Item
• A note on Srivastava and Hui's tests of multivariate normality
• On assessing multivariate normality based on Shapiro-Wilk W statistic
• An Extension of Shapiro and Wilk's W Test for Normality to Large Samples
• A class of invariant consistent tests for multivariate normality
• On tests for multivariate normality and associated simulation studies
• A First Course in Order Statistics
• A Monte Carlo comparison of the Type I and Type II error rates of tests of multivariate normality

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