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
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
Journal title :
Journal of Multivariate Analysis