Title of article
Bootstrap-based Q̂kh2 for the selection of components and variables in PLS regression
Author/Authors
Amato، نويسنده , , Silvano and Vinzi، نويسنده , , Vincenzo Esposito Vinzi، نويسنده ,
Issue Information
دوفصلنامه با شماره پیاپی سال 2003
Pages
12
From page
5
To page
16
Abstract
The aim of this paper is to suggest a bootstrap-based method for choosing the number of components in Partial Least Squares Regression (PLSR). Cross-validated Qh2 statistic is used, for which is intended to derive a bootstrap distribution and to perform a hypothesis testing. Monte Carlo approximation is adopted. Applications on both artificial and real data are presented.
Keywords
Bootstrap , cross-validation , PLSR , Irrelevant factors
Journal title
Chemometrics and Intelligent Laboratory Systems
Serial Year
2003
Journal title
Chemometrics and Intelligent Laboratory Systems
Record number
1460795
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