Publication detail

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

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

English title

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

Type

Peer-reviewed article not indexed in WoS or Scopus

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.

Keywords in English

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

Released

2002-06-10

Publisher

Elsevier Science B.V.

ISSN

0039-9140

Journal

TALANTA

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