DOI: 10.1002/cem.1180040103. Mixture analysis using factor analysis. II: Self‐modeling curve resolution

Mixture analysis using factor analysis. II: Self‐modeling curve resolution

10.1002/cem.1180040103

Crossref journal-article

Wiley

Journal of Chemometrics (311)

Abstract

AbstractOne of the major applications of factor analysis in the chemical literature, self‐modeling curve resolution (SMCR), is covered in this review, including a historical account of the methods derived from Lawton and Sylvestre's original method. Papers treating the theory or applications of SMCR are included. Qualitative and quantitative applications are described where appropriate.

Bibliography

Hamilton, J. C., & Gemperline, P. J. (1990). Mixture analysis using factor analysis. II: Selfâmodeling curve resolution. Journal of Chemometrics, 4(1), 1â13. Portico.

Authors 2

J. Craig Hamilton (first)
Paul J. Gemperline (additional)

References 88 Referenced 139

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Dates

Type	When
Created	20 years, 2 months ago (May 28, 2005, 8:48 p.m.)
Deposited	1 year, 10 months ago (Oct. 6, 2023, 1:59 p.m.)
Indexed	1 year ago (Aug. 8, 2024, 12:33 a.m.)
Issued	35 years, 7 months ago (Jan. 1, 1990)
Published	35 years, 7 months ago (Jan. 1, 1990)
Published Online	20 years, 4 months ago (March 30, 2005)
Published Print	35 years, 7 months ago (Jan. 1, 1990)

Funders 0

None

BibTeX

@article{Hamilton_1990, title={Mixture analysis using factor analysis. II: Self‐modeling curve resolution}, volume={4}, ISSN={1099-128X}, url={http://dx.doi.org/10.1002/cem.1180040103}, DOI={10.1002/cem.1180040103}, number={1}, journal={Journal of Chemometrics}, publisher={Wiley}, author={Hamilton, J. Craig and Gemperline, Paul J.}, year={1990}, month=jan, pages={1–13} }

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