Local chemical rank estimation of two-way data in the presence of heteroscedastic noise: A morphological approach
- 31 March 1996
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 32 (2) , 265-272
- https://doi.org/10.1016/0169-7439(95)00072-0
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Artefacts in evolving factor analysis-based methods for peak purity control in liquid chromatography with diode-array detectionAnalytica Chimica Acta, 1992
- Evolving factor analysis in the presence of heteroscedastic noiseAnalytica Chimica Acta, 1992
- Heuristic evolving latent projections: resolving two-way multicomponent data. 2. Detection and resolution of minor constituentsAnalytical Chemistry, 1992
- Heuristic evolving latent projections: resolving two-way multicomponent data. 1. Selectivity, latent-projective graph, datascope, local rank, and unique resolutionAnalytical Chemistry, 1992
- Interactive self-modeling multivariate analysisChemometrics and Intelligent Laboratory Systems, 1990
- Evolving factor analysis, a new multivariate technique in chromatographyChemometrics and Intelligent Laboratory Systems, 1988
- Quantification of a known component in an unknown mixtureAnalytica Chimica Acta, 1987
- Three-component curve resolution in liquid chromatography with multiwavelength diode array detectionAnalytical Chemistry, 1985
- Multivariate curve resolution in liquid chromatographyAnalytical Chemistry, 1984
- Self Modeling Curve ResolutionTechnometrics, 1971