Power analysis of several normality tests: A Monte Carlo simulation study

DOI10.1080/03610918.2019.1658780OpenAlexW2972698591MaRDI QIDQ5082854

Danush K. Wijekularathna, Stephen M. Scariano, Ananda B. W. Manage

Publication date: 21 June 2022

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

Full work available at URL: https://doi.org/10.1080/03610918.2019.1658780

zbMATH Keywords

Monte Carlo simulationskewed distributionsnormality testpower comparisonassumptions of normality

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

An empirical likelihood ratio-based omnibus test for normality with an adjustment for symmetric alternatives

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• On the correct use of omnibus tests for normality
• Monte Carlo comparison of seven normality tests
• An Extension of Shapiro and Wilk's W Test for Normality to Large Samples
• The Probability Plot Correlation Coefficient Test for Normality
• A Test for Normality of Observations and Regression Residuals
• A powerful and interpretable alternative to the Jarque–Bera test of normality based on 2nd-power skewness and kurtosis, using the Rao's score test on the APD family
• Comparisons of various types of normality tests
• An analysis of variance test for normality (complete samples)
• A Test of Goodness of Fit

This page was built for publication: Power analysis of several normality tests: A Monte Carlo simulation study