Publication detail

The effect of influential data, model and method on the precision of univariate calibration

MELOUN, M. MILITKÝ, J. KUPKA, K. BRERETON, R.

Original Title

The effect of influential data, model and method on the precision of univariate calibration

Type

journal article - other

Language

English

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.

Keywords

Calibration precision; Outliers; Influential points; Regression triplet; Iterative reweighted least-squares

Authors

MELOUN, M.; MILITKÝ, J.; KUPKA, K.; BRERETON, R.

Released

10. 6. 2002

Publisher

Elsevier Science B.V.

ISBN

0039-9140

Periodical

Talanta

Year of study

57

Number

4

State

United Kingdom of Great Britain and Northern Ireland

Pages from

721

Pages to

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",
  journal="Talanta",
  year="2002",
  volume="57",
  number="4",
  pages="721--740",
  issn="0039-9140"
}