Discriminant partial least squares analysis on compositional data

被引：19
|
作者：
Gallo, Michele [1 ]
机构：
[1] Univ Naples Orientale, Dept Social Sci, I-80134 Naples, Italy
来源：
STATISTICAL MODELLING | 2010年 / 10卷 / 01期
关键词：
Aitchison distance; compositional observation; discriminant analysis; log contrast; partial least squares;
D O I：
10.1177/1471082X0801000103
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Compositional data are commonly present in many disciplines. Nevertheless, it is often improperly incorporated into statistical modelling and a misleading interpretation of the results is given. This paper explains how partial least squares for discrimination is an adequate technique for compositional data when a dimensional reduction of original variables is needed and difining the variables that more influence the discrimination between the observations is the goal.
引用
收藏
页码：41 / 56
页数：16
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