A simulation study to compare the power of normality tests

Erdélyi, Péter and Rajkó, Róbert: A simulation study to compare the power of normality tests. Proceedings of the International Symposium on Analytical and Environmental Problems, (23). pp. 397-400. (2017)

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Abstract

A common assumption of many statistical procedures during data analysis is that the data is normally distributed. Several statistical tests have been developed for the determination of the validity of this assumption. Now, the question is: which is the most powerful? We performed an extensive Monte Carlo simulation study to answer this question. We found that compared to six other tests, the Shapiro–Wilk test performs the best under most conditions.

Item Type: Article
Journal or Publication Title: Proceedings of the International Symposium on Analytical and Environmental Problems
Date: 2017
Volume: 23
Page Range: pp. 397-400
ISBN: 978-963-306-563-1
Uncontrolled Keywords: Statisztikai hipotézisvizsgálat
Additional Information: Bibliogr.: 400. p. ; összefoglalás angol nyelven
Date Deposited: 2019. Jan. 03. 08:17
Last Modified: 2019. Jan. 03. 08:17
URI: http://acta.bibl.u-szeged.hu/id/eprint/56237

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