Mostrar el registro sencillo del ítem
dc.contributor.author
Fragoso, Wallace
dc.contributor.author
Allegrini, Franco
dc.contributor.author
Olivieri, Alejandro Cesar
dc.date.available
2018-07-19T20:46:00Z
dc.date.issued
2016-08
dc.identifier.citation
Fragoso, Wallace; Allegrini, Franco; Olivieri, Alejandro Cesar; A new and consistent parameter for measuring the quality of multivariate analytical methods: Generalized analytical sensitivity; Elsevier Science; Analytica Chimica Acta; 933; 8-2016; 43-49
dc.identifier.issn
0003-2670
dc.identifier.uri
http://hdl.handle.net/11336/52715
dc.description.abstract
Generalized analytical sensitivity (γ) is proposed as a new figure of merit, which can be estimated from a multivariate calibration data set. It can be confidently applied to compare different calibration methodologies, and helps to solve literature inconsistencies on the relationship between classical sensitivity and prediction error. In contrast to the classical plain sensitivity, γ incorporates the noise properties in its definition, and its inverse is well correlated with root mean square errors of prediction in the presence of general noise structures. The proposal is supported by studying simulated and experimental first-order multivariate calibration systems with various models, namely multiple linear regression, principal component regression (PCR) and maximum likelihood PCR (MLPCR). The simulations included instrumental noise of different types: independently and identically distributed (iid), correlated (pink) and proportional noise, while the experimental data carried noise which is clearly non-iid.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Analytical Figures of Merit
dc.subject
Analytical Sensitivity
dc.subject
Method Comparison
dc.subject
Multivariate Calibration
dc.subject
Sensitivity
dc.subject.classification
Otras Ciencias Químicas
dc.subject.classification
Ciencias Químicas
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
dc.title
A new and consistent parameter for measuring the quality of multivariate analytical methods: Generalized analytical sensitivity
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-07-18T20:47:48Z
dc.journal.volume
933
dc.journal.pagination
43-49
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Fragoso, Wallace. Universidade Federal da Paraíba. Centro de Ciências Exatas e da Natureza. Departamento de Química; Brasil. 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
dc.description.fil
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. Universidade Federal da Paraíba. Centro de Ciências Exatas e da Natureza. Departamento de Química; Brasil
dc.description.fil
Fil: Olivieri, Alejandro Cesar. Universidad Nacional de Rosario. Facultad de Ciencias Bioquímicas y Farmacéuticas; Argentina. 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
dc.journal.title
Analytica Chimica Acta
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/S0003267016307851
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.1016/j.aca.2016.06.022
Archivos asociados