Short note: Estimating the number of pure chemical components in a mixture by maximum likelihood

Journal of Chemometrics

Volumn 23, Issue 1, 2009, Pages 64-65

  Malinowski, Edmund R ^a,b  

^a STEVENS INSTITUTE OF TECHNOLOGY   (United States)

^b NONE   (United States)

Author keywords

Factor analysis; Maximum likelihood; Multivariate analysis; Principal component analysis; Raman spectroscopy; Rank anlalysis

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; MAXIMUM LIKELIHOOD ESTIMATION; MULTIVARIANT ANALYSIS;

CHEMICAL COMPONENT; CHEMOMETRICES; EIGEN-VALUE; FACTORS ANALYSIS; MA XIMUM LIKELIHOODS; MAXIMUM-LIKELIHOOD; MULTI VARIATE ANALYSIS; PRINCIPAL-COMPONENT ANALYSIS; PURE CHEMICALS; RANK ANLALYSE;

PRINCIPAL COMPONENT ANALYSIS;

EID: 58549102498     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.1191     Document Type: Article

References (3)

1. Levina E, Wagaman AS, Callender AF, Mandair GS, Morris MD. Estimating the number of pure chemical components in a mixture by maximum likelihood. J. Chemometrics 2007; 21: 24-34.
2. Malinowski ER. Theory of the distribution of error eigenvalues resulting from principal component analysis with applications to spectroscopic data. J. Chemometrics 1987; 1: 33-40.
3. Malinowski ER. Factor Analysis in Chemistry. 3rd Ed. John Wiley & Sons: New York, NY, 2002.