Title of article
Asymptotic theory for the test for multivariate normality by Cox and Small
Author/Authors
Ebner، نويسنده , , Bruno، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2012
Pages
12
From page
368
To page
379
Abstract
We derive the limit distribution of the statistic of Cox and Small (1978) [5] for testing multivariate normality when the underlying distribution is elliptically-symmetric. Moreover, we consider fixed and contiguous alternatives to normality. Empirical critical values as well as a Monte Carlo simulation for comparison to classical procedures are provided. We further show how some results can also be used for asymptotic results of the test for normality of Malkovich and Afifi.
Keywords
Multivariate processes , Covariance matrix kernel , Monte Carlo simulation , Multivariate normal distribution , Gaussian processes in Banach spaces , Goodness-of-fit test , Multiparameter processes , Banach-valued processes
Journal title
Journal of Multivariate Analysis
Serial Year
2012
Journal title
Journal of Multivariate Analysis
Record number
1565937
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