Authors: M Cruz Ortiz Ana Herrero Silvia Sanllorente Celia Reguera
Publish Date: 2005/03/22
Volume: 382, Issue: 2, Pages: 320-327
Abstract
A set of laboratory practices is proposed in which evaluation of the quality of the analytical measurements is incorporated explicitly by applying systematically suitable methodology for extracting the useful information contained in chemical data Nonparametric and robust techniques useful for detecting outliers have been used to evaluate different figures of merit in the validation and optimization of analytical methods In particular they are used for determination of the capability of detection according to ISO 11843 and IUPAC and for determination of linear range for assessment of the response surface fitted using an experimental design to optimize an instrumental technique and for analysis of a proficiency test carried out by different groups of students The tools used are robust regression least median of squares LMS regression and some robust estimators as median absolute deviation mad or Huber estimator which are very useful as an alternatives to the usual centralization and dispersion estimators
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