Publication detail
The effect of influential data, model and method on the precision of univariate calibration
MELOUN, M. MILITKÝ, J. KUPKA, K. BRERETON, R.
Czech title
Efekt vlivných dat, modelu a metody na přesnost jednorozměrné kalibrace
English title
The effect of influential data, model and method on the precision of univariate calibration
Type
journal article - other
Language
en
Original abstract
Building a calibration model with detection and quantification capabilities is identical to the task of building a regression model. Although commonly used by analysts, an application of the calibration model requires at first careful attention to the three components of the regression triplet (data, model, method), examining (a) the data quality of the proposed model; (b) the model quality; (c) the LS method to be used or a fulfillment of all least-squares assumptions.
Czech abstract
Posouzení vlivu správné volby typu regresního modelu a regresní metody v přítomnosti vlivných bodů na přesnost kalibračních modelů používaných v chemii a aplikovaných disciplínách.
English abstract
Building a calibration model with detection and quantification capabilities is identical to the task of building a regression model. Although commonly used by analysts, an application of the calibration model requires at first careful attention to the three components of the regression triplet (data, model, method), examining (a) the data quality of the proposed model; (b) the model quality; (c) the LS method to be used or a fulfillment of all least-squares assumptions.
Keywords in English
Calibration precision; Outliers; Influential points; Regression triplet; Iterative reweighted least-squares
Released
10.06.2002
Publisher
Elsevier Science B.V.
ISSN
0039-9140
Volume
57
Number
4
Pages from–to
721–740
Pages count
20
BIBTEX
@article{BUT51009,
author="Milan {Meloun} and Jiří {Militký} and Karel {Kupka} and Richard G. {Brereton},
title="The effect of influential data, model and method on the precision of univariate calibration",
year="2002",
volume="57",
number="4",
month="June",
pages="721--740",
publisher="Elsevier Science B.V.",
issn="0039-9140"
}