Detail publikace

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

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

Originální název

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

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

10. 6. 2002

Nakladatel

Elsevier Science B.V.

ISSN

0039-9140

Periodikum

Talanta

Ročník

57

Číslo

4

Stát

Spojené království Velké Británie a Severního Irska

Strany od

721

Strany do

740

Strany počet

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"
}