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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
Descripción
Sumario: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.