Robustness of models developed by multivariate calibration. Part I-Reference-Cited by-同舟云学术

Robustness of models developed by multivariate calibration. Part I

Published:2004-02 Issue:2 Volume:23 Page:157-170
ISSN:0165-9936
Container-title:TrAC Trends in Analytical Chemistry
language:en
Short-container-title:TrAC Trends in Analytical Chemistry

Author:

Zeaiter M.,Roger J.-M.,Bellon-Maurel V.,Rutledge D.N.

Publisher

Elsevier BV

Subject

Spectroscopy,Analytical Chemistry

Reference93 articles.

1. Introduction to multivariate calibration in analytical chemistry

2. Rugged spectroscopic calibration for process control

3. Optimising Multivariate Calibration by Robustness Criteria

4. N. Broad, P. Graham, P. Hailey, A. Hardy, S. Holland, S. Hughes, D. Lee, K. Prebble, N. Salton, P. Warren, Guidelines for the Development and Validation of Near-infrared Spectroscopic Methods in the Pharmaceutical Industry, John Wiley & Sons, Chichester, West Sussex, UK, 2002, p. 21.

5. ICH Harmonized Tripartite Guideline, www.ifpma.org/ichl.html (1994) 1.

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