Heteroscedastic controlled calibration model applied to analytical chemistry


Autoria(s): BLAS, Betsabe; SANDOVAL, Monica C.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

20/10/2012

20/10/2012

2010

Resumo

In chemical analyses performed by laboratories, one faces the problem of determining the concentration of a chemical element in a sample. In practice, one deals with the problem using the so-called linear calibration model, which considers that the errors associated with the independent variables are negligible compared with the former variable. In this work, a new linear calibration model is proposed assuming that the independent variables are subject to heteroscedastic measurement errors. A simulation study is carried out in order to verify some properties of the estimators derived for the new model and it is also considered the usual calibration model to compare it with the new approach. Three applications are considered to verify the performance of the new approach. Copyright (C) 2010 John Wiley & Sons, Ltd.

Brazilian CNPq

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Identificador

JOURNAL OF CHEMOMETRICS, v.24, n.5/Jun, p.241-248, 2010

0886-9383

http://producao.usp.br/handle/BDPI/30468

10.1002/cem.1275

http://dx.doi.org/10.1002/cem.1275

Idioma(s)

eng

Publicador

JOHN WILEY & SONS LTD

Relação

Journal of Chemometrics

Direitos

restrictedAccess

Copyright JOHN WILEY & SONS LTD

Palavras-Chave #linear calibration model #controlled variable #measurement error model #uncertainty #chemical analysis #MEASUREMENT UNCERTAINTY #Automation & Control Systems #Chemistry, Analytical #Computer Science, Artificial Intelligence #Instruments & Instrumentation #Mathematics, Interdisciplinary Applications #Statistics & Probability
Tipo

article

original article

publishedVersion