Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/202
Title: A general method for constructing a test of multivariate normality
Authors: Desai, Tejas A.
Keywords: Anderson-Darling test;Cramer-Von-Mises test;Kolmogorov-Smirnov test;Missingness at Random (MAR);Multivariate normality;Shapiro-Wilk test
Issue Date: 13-Aug-2009
Series/Report no.: WP;2006-12-04
Abstract: We present a general method of constructing a test of multivariate normality using any given test of univariate normality of complete or randomly incomplete data. A simulation study considers multivariate tests constructed using the univariate versions of the Shapiro-Wilk, Kolmogorov-Smirnov, Cramer-Von-Mises, and Anderson-Darling tests.
URI: http://hdl.handle.net/11718/202
Appears in Collections:Working Papers

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