Recent advances in analytical figures of merit: Heteroscedasticity strikes back

Autores
Allegrini, Franco; Olivieri, Alejandro Cesar
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
With a growing number of analytical methodologies incorporating multivariate calibration models, the development of suitable estimators of their analytical figures of merit is playing an important role in modern analytical chemistry. The main goal of this mini-review is to briefly present the recent trends regarding reliable and interpretable estimators of traditional figures of merit such as sensitivity, prediction uncertainty and detection limit. Heteroscedasticity in instrumental measurements is driving some of these recent developments and influencing the definition of new estimators.
Fil: Allegrini, Franco. 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
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
Materia
Quimica Analitica
Quimiometria
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:11336/50453
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Recent advances in analytical figures of merit: Heteroscedasticity strikes backAllegrini, FrancoOlivieri, Alejandro CesarQuimica AnaliticaQuimiometriahttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1With a growing number of analytical methodologies incorporating multivariate calibration models, the development of suitable estimators of their analytical figures of merit is playing an important role in modern analytical chemistry. The main goal of this mini-review is to briefly present the recent trends regarding reliable and interpretable estimators of traditional figures of merit such as sensitivity, prediction uncertainty and detection limit. Heteroscedasticity in instrumental measurements is driving some of these recent developments and influencing the definition of new estimators.Fil: Allegrini, Franco. 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; ArgentinaFil: 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; ArgentinaRoyal Society of Chemistry2017-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/50453Allegrini, Franco; Olivieri, Alejandro Cesar; Recent advances in analytical figures of merit: Heteroscedasticity strikes back; Royal Society of Chemistry; Analytical Methods; 9; 5; 2-2017; 739-7431759-9679CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1039/c6ay02916ginfo:eu-repo/semantics/altIdentifier/url/http://pubs.rsc.org/en/Content/ArticleLanding/2017/AY/C6AY02916Ginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:31:09Zoai:ri.conicet.gov.ar:11336/50453instacron: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:34982025-10-15 15:31:10.174CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Recent advances in analytical figures of merit: Heteroscedasticity strikes back
title Recent advances in analytical figures of merit: Heteroscedasticity strikes back
spellingShingle Recent advances in analytical figures of merit: Heteroscedasticity strikes back
Allegrini, Franco
Quimica Analitica
Quimiometria
title_short Recent advances in analytical figures of merit: Heteroscedasticity strikes back
title_full Recent advances in analytical figures of merit: Heteroscedasticity strikes back
title_fullStr Recent advances in analytical figures of merit: Heteroscedasticity strikes back
title_full_unstemmed Recent advances in analytical figures of merit: Heteroscedasticity strikes back
title_sort Recent advances in analytical figures of merit: Heteroscedasticity strikes back
dc.creator.none.fl_str_mv Allegrini, Franco
Olivieri, Alejandro Cesar
author Allegrini, Franco
author_facet Allegrini, Franco
Olivieri, Alejandro Cesar
author_role author
author2 Olivieri, Alejandro Cesar
author2_role author
dc.subject.none.fl_str_mv Quimica Analitica
Quimiometria
topic Quimica Analitica
Quimiometria
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv With a growing number of analytical methodologies incorporating multivariate calibration models, the development of suitable estimators of their analytical figures of merit is playing an important role in modern analytical chemistry. The main goal of this mini-review is to briefly present the recent trends regarding reliable and interpretable estimators of traditional figures of merit such as sensitivity, prediction uncertainty and detection limit. Heteroscedasticity in instrumental measurements is driving some of these recent developments and influencing the definition of new estimators.
Fil: Allegrini, Franco. 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
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
description With a growing number of analytical methodologies incorporating multivariate calibration models, the development of suitable estimators of their analytical figures of merit is playing an important role in modern analytical chemistry. The main goal of this mini-review is to briefly present the recent trends regarding reliable and interpretable estimators of traditional figures of merit such as sensitivity, prediction uncertainty and detection limit. Heteroscedasticity in instrumental measurements is driving some of these recent developments and influencing the definition of new estimators.
publishDate 2017
dc.date.none.fl_str_mv 2017-02
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/11336/50453
Allegrini, Franco; Olivieri, Alejandro Cesar; Recent advances in analytical figures of merit: Heteroscedasticity strikes back; Royal Society of Chemistry; Analytical Methods; 9; 5; 2-2017; 739-743
1759-9679
CONICET Digital
CONICET
url http://hdl.handle.net/11336/50453
identifier_str_mv Allegrini, Franco; Olivieri, Alejandro Cesar; Recent advances in analytical figures of merit: Heteroscedasticity strikes back; Royal Society of Chemistry; Analytical Methods; 9; 5; 2-2017; 739-743
1759-9679
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1039/c6ay02916g
info:eu-repo/semantics/altIdentifier/url/http://pubs.rsc.org/en/Content/ArticleLanding/2017/AY/C6AY02916G
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
application/pdf
dc.publisher.none.fl_str_mv Royal Society of Chemistry
publisher.none.fl_str_mv Royal Society of Chemistry
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 13.22299

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