Issue 5, 2017

Recent advances in analytical figures of merit: heteroscedasticity strikes back

Abstract

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.

Graphical abstract: Recent advances in analytical figures of merit: heteroscedasticity strikes back

Article information

Article type
Minireview
Submitted
24 Oct 2016
Accepted
22 Dec 2016
First published
23 Dec 2016

Anal. Methods, 2017,9, 739-743

Recent advances in analytical figures of merit: heteroscedasticity strikes back

F. Allegrini and A. C. Olivieri, Anal. Methods, 2017, 9, 739 DOI: 10.1039/C6AY02916G

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