✦ LIBER ✦
Use of replication and signal-to-noise ratios in the identification and estimation of the composition of lubricant basestock mixtures using 13C nuclear magnetic resonance spectroscopy and projection into principal component/canonical variates space
✍ Scribed by John M. Deane; Halliday J. H. MacFie; Alexander G. King
- Publisher
- John Wiley and Sons
- Year
- 1989
- Tongue
- English
- Weight
- 859 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0886-9383
No coin nor oath required. For personal study only.
✦ Synopsis
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 I3C NMR spectra of lubricant basestock mixtures.