Variable selection in regression-a tutorial

被引：575

作者：

Andersen, C. M. ^{[1
]}

Bro, R. ^{[1
]}

机构：

[1] Univ Copenhagen, Fac Life Sci, Dept Food Sci, DK-1958 Frederiksberg C, Denmark

来源：

JOURNAL OF CHEMOMETRICS | 2010年 / 24卷 / 11-12期

关键词：

variable selection; calibration; chemometrics; PARTIAL LEAST-SQUARES; GENETIC ALGORITHMS; SPECTROSCOPY; UNCERTAINTY;

D O I：

10.1002/cem.1360

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper provides a practical guide to variable selection in chemometrics with a focus on regression-based calibration models. Several approaches, such as genetic algorithms (GAs), jack-knifing, forward selection, etc., are explained; it is also explained how to choose between different kinds of variable selection methods. The emphasis in this paper is on how to use variable selection in practice and avoid the most common pitfalls. Copyright (C) 2010 John Wiley & Sons, Ltd.

引用

页码：728 / 737

页数：10

共 26 条

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