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Application of experimental design to generate relevant information and representative calibration data

The basic requirement for a good calibration is representative data. This paper outlines techniques for selecting samples from an existing population. The concept of factorial designs is explained, and three ways of applying experimental design to generate representative data are described. These ar...

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Detalles Bibliográficos
Autores principales: Schönkopf, Suzanne, Guyot, Dominique
Formato: Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 1997
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2548137/
https://www.ncbi.nlm.nih.gov/pubmed/18924812
http://dx.doi.org/10.1155/S1463924697000278
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author Schönkopf, Suzanne
Guyot, Dominique
author_facet Schönkopf, Suzanne
Guyot, Dominique
author_sort Schönkopf, Suzanne
collection PubMed
description The basic requirement for a good calibration is representative data. This paper outlines techniques for selecting samples from an existing population. The concept of factorial designs is explained, and three ways of applying experimental design to generate representative data are described. These are: to vary the experimental conditions; focus on some of the parameters of interest directly (reference values); to vary the underlying conditions which generate consistent variations in the spectra,for example production factors. Finally the paper gives an example of the use of the concept of experimental design to pick out samples from a population.
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spelling pubmed-25481372008-10-16 Application of experimental design to generate relevant information and representative calibration data Schönkopf, Suzanne Guyot, Dominique J Automat Chem Research Article The basic requirement for a good calibration is representative data. This paper outlines techniques for selecting samples from an existing population. The concept of factorial designs is explained, and three ways of applying experimental design to generate representative data are described. These are: to vary the experimental conditions; focus on some of the parameters of interest directly (reference values); to vary the underlying conditions which generate consistent variations in the spectra,for example production factors. Finally the paper gives an example of the use of the concept of experimental design to pick out samples from a population. Hindawi Publishing Corporation 1997 /pmc/articles/PMC2548137/ /pubmed/18924812 http://dx.doi.org/10.1155/S1463924697000278 Text en Copyright © 1997 Hindawi Publishing Corporation. http://creativecommons.org/licenses/by/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Schönkopf, Suzanne
Guyot, Dominique
Application of experimental design to generate relevant information and representative calibration data
title Application of experimental design to generate relevant information and representative calibration data
title_full Application of experimental design to generate relevant information and representative calibration data
title_fullStr Application of experimental design to generate relevant information and representative calibration data
title_full_unstemmed Application of experimental design to generate relevant information and representative calibration data
title_short Application of experimental design to generate relevant information and representative calibration data
title_sort application of experimental design to generate relevant information and representative calibration data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2548137/
https://www.ncbi.nlm.nih.gov/pubmed/18924812
http://dx.doi.org/10.1155/S1463924697000278
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