A NEW MULTIVARIATE NORMALITY GOODNESS OF FIT TEST WITH GRAPHICAL APPLICATIONS

被引：1

作者：

ROMEU, JL ^{[1
]}

机构：

[1] SYRACUSE UNIV,CTR CASE,SYRACUSE,NY 13244

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 1991年 / 21卷 / 1-4期

关键词：

D O I：

10.1016/0360-8352(91)90086-L

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

A new procedure for assessing distributional assumptions of multivariate data, with graphical applications, is presented and illustrated using a real industrial example. The procedure is based on transforming the multivariate sample into a set of uncorrelated samples and representing the order statistics of each transformed sample by linked vectors in a two dimensional space.

引用

页码：191 / 195

页数：5

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