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Volumn 423, Issue 1, 2000, Pages 51-68

Critical comparison of methods predicting the number of components in spectroscopic data

Author keywords

Chemometrics; Extracted error; Instrumental error of spectrophotometer; Method of logarithm of eigenvalues; Number of components; Number of components in a mixture; PCA; Principal component analysis; Rank of matrix; Real error

Indexed keywords

ARTICLE; CHEMICAL ANALYSIS; DATA ANALYSIS; PRIORITY JOURNAL; SPECTROPHOTOMETRY; SPECTROSCOPY;

EID: 0034692443     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0003-2670(00)01100-4     Document Type: Article
Times cited : (132)

References (27)
  • 26
    • 0343777715 scopus 로고    scopus 로고
    • Critical comparison of factor analysis methods in spectra analysis determining the number of light-absorbing species
    • Podbánské, September ISBN 80-967325-7-9
    • M. Meloun, P. Miksik, Karel Kupka, Critical comparison of factor analysis methods in spectra analysis determining the number of light-absorbing species, in: Proceedings of the XIIIth Seminar on Atomic Spectrochemistry, Podbánské, September 1996, pp. 307-329, ISBN 80-967325-7-9.
    • (1996) In: Proceedings of the XIIIth Seminar on Atomic Spectrochemistry , pp. 307-329
    • Meloun, M.1    Miksik, P.2    Karel Kupka3
  • 27
    • 0343342016 scopus 로고    scopus 로고
    • Algorithm INDICES
    • Algorithm INDICES: http://meloun.upce.cz/indices.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.