Henze N., Zirkler B. (1990): A class of invariant consistent tests for multivariate normality. Communication in Statistics - Theory and Methods 19: 3595-3617.10.1080/03610929008830400
Henze N. (1994): On Mardia’s kurtosis test for multivariate normality. Communication in Statistics - Theory and Methods 23: 1031-1945.10.1080/03610929408831303
Horswell R.L., Looney S.W. (1992): A comparison of tests for multivariate normality that are based on measures of multivariate skewness and kurtosis. Journal of Statistical Computation and Simulation 42: 21-38.10.1080/00949659208811407
Mardia K.V. (1974): Applications of some measures of multivariate skewness and kurtosis for testing normality and robustness studies. Sankhya B 36:115-128.
Mardia K.V., Kanazawa M. (1983): The null distribution of multivariate kurtosis. Communication in Statistics - Simulation and Computation 12: 569-576.10.1080/03610918308812343
Mecklin C.J., Mundfrom D.J. (2004): An appraisal and bibliography of tests for multivariate normality. International Statistical Review 72: 123-138. 10.1111/j.1751-5823.2004.tb00228.x
R Development Core Team (2008): R: A language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org.
Srivastava M.S. (1984). A measure of skewness and kurtosis and a graphical method for assessing multivariate normality. Statistics & Probability Letters 2: 263-267.