Self-modeling mixture analysis of categorized pyrolysis mass spectral data with the SIMPLISMA approach
Authors:
- W. WindigWWW. Windig
- C.E. HecklerCHC.E. Heckler
- F.A. AgblevorFAF.A. Agblevor
- R.J. EvansRER.J. Evans
- 1 April 1992
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 14 (1-3) , 195-207
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- Interactive self-modeling multivariate analysis of thermolysis mass spectraChemometrics and Intelligent Laboratory Systems, 1991
- Interactive self-modeling mixture analysisAnalytical Chemistry, 1991
- Interactive self-modeling multivariate analysisChemometrics and Intelligent Laboratory Systems, 1990
- Preferred set selection by iterative key set factor analysisChemometrics and Intelligent Laboratory Systems, 1989
- Molecular characterization of the pyrolysis of biomassEnergy & Fuels, 1987
- Comparison of canonical variates analysis with target rotation and least-squares regression as applied to pyrolysis mass spectra of simple biochemical mixturesAnalytical Chemistry, 1985
- Discriminant analysis by double stage principal component analysisAnalytical Chemistry, 1983
- Obtaining the key set of typical vectors by factor analysis and subsequent isolation of component spectraAnalytica Chimica Acta, 1982
- Separation of mass spectra of mixtures by factor analysisAnalytical Chemistry, 1979
- Self Modeling Curve ResolutionTechnometrics, 1971