COMPARISON OF SEMIROBUST AND ROBUST PARTIAL LEAST-SQUARES PROCEDURES

被引：44

作者：

GRIEP, MI

WAKELING, IN

VANKEERBERGHEN, P

MASSART, DL

机构：

[1] FREE UNIV BRUSSELS, INST PHARMACEUT, CHEMOAC, B-1090 BRUSSELS, BELGIUM

[2] INST FOOD RES, READING RG6 EF, BERKS, ENGLAND

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 1995年 / 29卷 / 01期

关键词：

D O I：

10.1016/0169-7439(95)00008-K

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Three different robust partial least squares (PLS) alternatives are compared in order to reduce the effect of outlying data. Although iteratively reweighted least squares, based on the biweight mean, offers efficiency in a variety of situations, in higher dimensions, there are still considerable deviations from the ordinary PLS solution without outliers.

引用

页码：37 / 50

页数：14

共 16 条

[1]

[Anonymous], 2003, ROBUST REGRESSION OU

[2] SIMPLS - AN ALTERNATIVE APPROACH TO PARTIAL LEAST-SQUARES REGRESSION [J].