Heteroscedastic controlled calibration model applied to analytical chemistry

Heteroscedastic controlled calibration model applied to analytical chemistry

In chemical analysis made by laboratories one has the problem of determining the concentration of a chemical element in a sample. In order to tackle this problem the guide EURACHEM/CITAC recommends the application of the linear calibration model, so implicitly assume that there is no measurement error in the independent variable X. In this work, it is proposed a new calibration model assuming t...

Introduction to multivariate calibration in analytical chemistry†

The 2013 fundamental and applied reviews in analytical chemistry.

International Union of Pure and Applied Chemistry Analytical Chemistry Division on Separation Methods in Analytical Chemistry (v3)* Analytical Chiral Separation Methods

In recent years there has been considerable interest in the synthesis and separation of enantiomers of organic compounds especially because of their importance in the biochemistry and pharmaceutical industry. Frequently the methods used for the separations, for monitoring the progress of an asymmetric synthesis or optical purity of the products are chromatographic with either liquids, gases, or...

Regression calibration with heteroscedastic error variance.

The problem of covariate measurement error with heteroscedastic measurement error variance is considered. Standard regression calibration assumes that the measurement error has a homoscedastic measurement error variance. An estimator is proposed to correct regression coefficients for covariate measurement error with heteroscedastic variance. Point and interval estimates are derived. Validation ...