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题目Tests for multivariate normality with Pearson alternatives  作者A. Bera and S. John
Published in: Communications in Statistics - Theory and Methods, Volume 12, Issue 1 1983 , pages  
衔接：http://www.informaworld.com/smpp/176620515-55550235/content~db=all~content=a780037158~frm=titlelink

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关键词：求英文文献一篇 英文文献一篇 求英文文献 英文文献 Multivariate 文献 英文

Tests for multivariate normality with pearson alternatives  
Authors: A. Beraa; S. Johna

Abstract
We consider a multivariate Pearson family of distributions. Certain parametric restrictions lead to the multivariate normal distribution. Using this fact we propose a number of asymptotically efficient tests. Through Monte Carlo experiments these tests are compared with some of the existing test procedures. A table is provided from which finite-sample critical points can be obtained.  
Keywords: Test for multivariate normality; multivariate skewness and kurtosis; multivariate Pearson family; score test; Monte Carlo experiment; comparison of power; critical points  
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