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

• Published in: Communications in statistics. Simulation and computation Vol. 51; no. 3; pp. 757 - 773
• Main Authors: Wijekularathna, Danush K., Manage, Ananda B. W., Scariano, Stephen M.
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 09.03.2022; Taylor & Francis Ltd
• Subjects: Assumptions of Normality; Empirical analysis; Graphical methods; Mathematical analysis; Monte Carlo Simulation; Normality; Normality test; Power comparison; Skewed distributions; Statistical analysis; Statistical inference

In statistical inference, oftentimes the data are assumed to be normally distributed. Consequently, testing the validity of the normality assumption is an integral part of such statistical analyses. Here, we investigate twelve currently available tests for normality using Monte-Carlo simulation. Alt...