Homoscedastic controlled calibration model

Thumbnail Image

Date

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

Abstract

Description

In the context of the usual calibration model, we consider the case in which the independent variable is unobservable, but a pre-fixed value on its surrogate is available. Thus, considering controlled variables and assuming that the measurement errors have equal variances we propose a new calibration model. Likelihood based methodology is used to estimate the model parameters and the Fisher information matrix is used to construct a confidence interval for the unknown value of the regressor variable. A simulation study is carried out to asses the effect of the measurement error on the estimation of the parameter of interest. This new approach is illustrated with an example.
LaTex, 21 pages. Includes 13 tables. Version published in Journal of Chemometrics, v. 21, p. 145-155, 2007

Keywords

Applications

Citation

URI

http://salesiana.dossiersoluciones.com/handle/123456789/154185

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/0802.0691
 http://arxiv.org/abs/0802.0691
 Journal of Chemometrics, v. 21, p. 145-155, 2007

Collections

arXiv