Uncommon multivariate statistical methods for environmental studies: A review

In this paper we describe the characteristics and the applications of the multivariate methods for spectroscopic and chromatographic techniques independent component analysis (ICA) and two-dimensional correlation spectroscopy (2DCOS) focused to their use in environmental studies. In our opinion, the...

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Autor principal: Tudino, Mabel Beatriz
Publicado: 2015
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_22141588_v6-7_n_p31_Mecozzi
http://hdl.handle.net/20.500.12110/paper_22141588_v6-7_n_p31_Mecozzi
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spelling paper:paper_22141588_v6-7_n_p31_Mecozzi2023-06-08T16:35:18Z Uncommon multivariate statistical methods for environmental studies: A review Tudino, Mabel Beatriz Chromatographic analysis Environmental studies Independent component analysis Multivariate methods Spectroscopic analysis Two-dimensional correlation spectroscopy In this paper we describe the characteristics and the applications of the multivariate methods for spectroscopic and chromatographic techniques independent component analysis (ICA) and two-dimensional correlation spectroscopy (2DCOS) focused to their use in environmental studies. In our opinion, these methods are important because they allow to characterize environmental samples with different aims and scopes from those generally obtained by means of more common multivariate methods such as principal component analysis (PCA) and partial least squares (PLS). The new insights of these methods in recent environmental studies are reviewed and debated. © 2015 Elsevier B.V. Fil:Tudino, M.B. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_22141588_v6-7_n_p31_Mecozzi http://hdl.handle.net/20.500.12110/paper_22141588_v6-7_n_p31_Mecozzi
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Chromatographic analysis
Environmental studies
Independent component analysis
Multivariate methods
Spectroscopic analysis
Two-dimensional correlation spectroscopy
spellingShingle Chromatographic analysis
Environmental studies
Independent component analysis
Multivariate methods
Spectroscopic analysis
Two-dimensional correlation spectroscopy
Tudino, Mabel Beatriz
Uncommon multivariate statistical methods for environmental studies: A review
topic_facet Chromatographic analysis
Environmental studies
Independent component analysis
Multivariate methods
Spectroscopic analysis
Two-dimensional correlation spectroscopy
description In this paper we describe the characteristics and the applications of the multivariate methods for spectroscopic and chromatographic techniques independent component analysis (ICA) and two-dimensional correlation spectroscopy (2DCOS) focused to their use in environmental studies. In our opinion, these methods are important because they allow to characterize environmental samples with different aims and scopes from those generally obtained by means of more common multivariate methods such as principal component analysis (PCA) and partial least squares (PLS). The new insights of these methods in recent environmental studies are reviewed and debated. © 2015 Elsevier B.V.
author Tudino, Mabel Beatriz
author_facet Tudino, Mabel Beatriz
author_sort Tudino, Mabel Beatriz
title Uncommon multivariate statistical methods for environmental studies: A review
title_short Uncommon multivariate statistical methods for environmental studies: A review
title_full Uncommon multivariate statistical methods for environmental studies: A review
title_fullStr Uncommon multivariate statistical methods for environmental studies: A review
title_full_unstemmed Uncommon multivariate statistical methods for environmental studies: A review
title_sort uncommon multivariate statistical methods for environmental studies: a review
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_22141588_v6-7_n_p31_Mecozzi
http://hdl.handle.net/20.500.12110/paper_22141588_v6-7_n_p31_Mecozzi
work_keys_str_mv AT tudinomabelbeatriz uncommonmultivariatestatisticalmethodsforenvironmentalstudiesareview
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