ISSN:
0886-9383
Keywords:
Abstract factor analysis
;
Target transformation factor analysis
;
Signal-to-noise ratios
;
Canonical variates analysis
;
13C NMR spectroscopy
;
Mixture constituent identification and estimation
;
Chemistry
;
Analytical Chemistry and Spectroscopy
Source:
Wiley InterScience Backfile Collection 1832-2000
Topics:
Chemistry and Pharmacology
Notes:
The theory of experimental error in analysis of mixture experiments by abstract factor analysis or target transformation factor analysis is considered. The theoretical implications of using signal-to-noise ratios (as weights) or canonical variates analysis to reduce the level of imbedded error in the factor model are examined. The approach is illustrated by application to 13C NMR spectra of lubricant basestock mixtures.
Additional Material:
5 Ill.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1002/cem.1180030205
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