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Comment on a recently proposed resampling method
Author(s) -
Faber Nicolaas Klaas M.
Publication year - 2001
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.659
Subject(s) - resampling , computer science , mathematics , artificial intelligence
Abstract A recently introduced resampling method for determining the contribution of measurement errors to the standard error in bilinear and trilinear model estimates is critically examined. Using Monte Carlo simulations, it is shown that this method does not work as intended. A noise addition method is proposed as a generally applicable alternative. The principles involved in applied work are illustrated on real UV‐vis data taken from the literature. Copyright © 2001 John Wiley & Sons, Ltd.