MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration

Autores
Olivieri, Alejandro Cesar; Wu, Hai Long; Yu, Ru Qin
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A new MATLAB graphical interface toolbox for implementing third-order multivariate calibration methodologies is discussed. Multivariate Calibration 3 (MVC3) is a sequel of the already described first-order (MVC1) and second-order (MVC2) toolboxes. MVC3 accepts a variety of ASCII data for input, depending on whether the third-order data are vectorized or matricized. If required, data for sample sets are arranged into four-way arrays for processing with several quadrilinear and non-quadrilinear algorithms. Quadrilinear decomposition techniques and latent structured models based on partial least-squares regression and residual trilinearization are included in the software. Appropriate working sensor regions in the three data dimensions can be selected. Model development and its subsequent application to unknown samples are straightforward from the interface. Prediction results are provided along with analytical figures of merit and standard concentration errors, as calculated by modern concepts of uncertainty propagation.
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; Argentina
Fil: Wu, Hai Long. Universidad de Hunan; China
Fil: Yu, Ru Qin. Universidad de Hunan; China
Materia
FIGURES OF MERIT
GRAPHICAL INTERFACE
MATLAB PROGRAM
THIRD-ORDER MULTIVARIATE CALIBRATION
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/106185
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibrationOlivieri, Alejandro CesarWu, Hai LongYu, Ru QinFIGURES OF MERITGRAPHICAL INTERFACEMATLAB PROGRAMTHIRD-ORDER MULTIVARIATE CALIBRATIONhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1A new MATLAB graphical interface toolbox for implementing third-order multivariate calibration methodologies is discussed. Multivariate Calibration 3 (MVC3) is a sequel of the already described first-order (MVC1) and second-order (MVC2) toolboxes. MVC3 accepts a variety of ASCII data for input, depending on whether the third-order data are vectorized or matricized. If required, data for sample sets are arranged into four-way arrays for processing with several quadrilinear and non-quadrilinear algorithms. Quadrilinear decomposition techniques and latent structured models based on partial least-squares regression and residual trilinearization are included in the software. Appropriate working sensor regions in the three data dimensions can be selected. Model development and its subsequent application to unknown samples are straightforward from the interface. Prediction results are provided along with analytical figures of merit and standard concentration errors, as calculated by modern concepts of uncertainty propagation.Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; ArgentinaFil: Wu, Hai Long. Universidad de Hunan; ChinaFil: Yu, Ru Qin. Universidad de Hunan; ChinaElsevier Science2012-07-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/106185Olivieri, Alejandro Cesar; Wu, Hai Long; Yu, Ru Qin; MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration; Elsevier Science; Chemometrics and Intelligent Laboratory Systems; 116; 2-7-2012; 9-160169-7439CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0169743912000986info:eu-repo/semantics/altIdentifier/doi/10.1016/j.chemolab.2012.03.018info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:47:53Zoai:ri.conicet.gov.ar:11336/106185instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:47:53.598CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration
title MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration
spellingShingle MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration
Olivieri, Alejandro Cesar
FIGURES OF MERIT
GRAPHICAL INTERFACE
MATLAB PROGRAM
THIRD-ORDER MULTIVARIATE CALIBRATION
title_short MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration
title_full MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration
title_fullStr MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration
title_full_unstemmed MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration
title_sort MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration
dc.creator.none.fl_str_mv Olivieri, Alejandro Cesar
Wu, Hai Long
Yu, Ru Qin
author Olivieri, Alejandro Cesar
author_facet Olivieri, Alejandro Cesar
Wu, Hai Long
Yu, Ru Qin
author_role author
author2 Wu, Hai Long
Yu, Ru Qin
author2_role author
author
dc.subject.none.fl_str_mv FIGURES OF MERIT
GRAPHICAL INTERFACE
MATLAB PROGRAM
THIRD-ORDER MULTIVARIATE CALIBRATION
topic FIGURES OF MERIT
GRAPHICAL INTERFACE
MATLAB PROGRAM
THIRD-ORDER MULTIVARIATE CALIBRATION
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv A new MATLAB graphical interface toolbox for implementing third-order multivariate calibration methodologies is discussed. Multivariate Calibration 3 (MVC3) is a sequel of the already described first-order (MVC1) and second-order (MVC2) toolboxes. MVC3 accepts a variety of ASCII data for input, depending on whether the third-order data are vectorized or matricized. If required, data for sample sets are arranged into four-way arrays for processing with several quadrilinear and non-quadrilinear algorithms. Quadrilinear decomposition techniques and latent structured models based on partial least-squares regression and residual trilinearization are included in the software. Appropriate working sensor regions in the three data dimensions can be selected. Model development and its subsequent application to unknown samples are straightforward from the interface. Prediction results are provided along with analytical figures of merit and standard concentration errors, as calculated by modern concepts of uncertainty propagation.
Fil: Olivieri, Alejandro Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario. Instituto de Química Rosario. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Instituto de Química Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas. Departamento de Química Analítica; Argentina
Fil: Wu, Hai Long. Universidad de Hunan; China
Fil: Yu, Ru Qin. Universidad de Hunan; China
description A new MATLAB graphical interface toolbox for implementing third-order multivariate calibration methodologies is discussed. Multivariate Calibration 3 (MVC3) is a sequel of the already described first-order (MVC1) and second-order (MVC2) toolboxes. MVC3 accepts a variety of ASCII data for input, depending on whether the third-order data are vectorized or matricized. If required, data for sample sets are arranged into four-way arrays for processing with several quadrilinear and non-quadrilinear algorithms. Quadrilinear decomposition techniques and latent structured models based on partial least-squares regression and residual trilinearization are included in the software. Appropriate working sensor regions in the three data dimensions can be selected. Model development and its subsequent application to unknown samples are straightforward from the interface. Prediction results are provided along with analytical figures of merit and standard concentration errors, as calculated by modern concepts of uncertainty propagation.
publishDate 2012
dc.date.none.fl_str_mv 2012-07-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/106185
Olivieri, Alejandro Cesar; Wu, Hai Long; Yu, Ru Qin; MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration; Elsevier Science; Chemometrics and Intelligent Laboratory Systems; 116; 2-7-2012; 9-16
0169-7439
CONICET Digital
CONICET
url http://hdl.handle.net/11336/106185
identifier_str_mv Olivieri, Alejandro Cesar; Wu, Hai Long; Yu, Ru Qin; MVC3: A MATLAB graphical interface toolbox for third-order multivariate calibration; Elsevier Science; Chemometrics and Intelligent Laboratory Systems; 116; 2-7-2012; 9-16
0169-7439
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0169743912000986
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.chemolab.2012.03.018
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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