Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation

Author:

Cain Meghan K.,Zhang Zhiyong,Yuan Ke-Hai

Publisher

Springer Science and Business Media LLC

Subject

General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology

Reference30 articles.

1. Anscombe, F.J., & Glynn, W.J. (1983). Distribution of the Kurtosis Statistic b2 for Normal Samples Distribution of the Kurtosis Statistic b2 for Normal Samples. Biometrika, 70(1), 227. doi: 10.2307/2335960 .

2. Becker, M., & Klößner, S. (2016). PearsonDS: Pearson Distribution System PearsonDS: Pearson Distribution System. Retrieved from https://CRAN.R-project.org/package=PearsonDS (R package version 0.98.

3. Blanca, M.J., Arnau, J., López-Montiel, D., Bono, R., & Bendayan, R. (2013). Skewness and Kurtosis in Real Data Samples Skewness and kurtosis in real data samples. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 9(2), 78–84. doi: 10.1027/1614-2241/a000057 .

4. Bliss, C. (1967). Statistical Tests of Skewness and Kurtosis Statistical Tests of Skewness and Kurtosis. In Statistics in Biology: Statistical Methods for Research in the Natural Sciences Statistics in Biology: Statistical Methods for Research in the Natural Sciences (VOL 1, pp. 140–146). New York McGraw-Hill Book Company.

5. Box, G.E., & Cox, D.R. (1964). An analysis of transformations An analysis of transformations. Journal of the Royal Statistical Society. Series B (Methodological), 211–252. Retrieved 2016-07-26, from. http://www.jstor.org/stable/2984418 .

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