2. What are the problems encountered during calibration?
The available input data x (standards) and associated measured values y are not perfectly known.
On the variable x , there is always an uncertainty on the values of x .
For the variable y , the measurement process is not perfect, and its repeatability and other uncertainties lead to different y values for the same x .
Furthermore, during a calibration, the measurement process is carried out with the same operator under environmental conditions that vary little over the course of the calibration. These conditions generate covariance phenomena between errors on x , between errors on y and between errors on pairs ( x , y ).
The aim of modeling is to determine the model that best describes the observations.
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What are the problems encountered during calibration?
What regression strategies are available?
Bibliography
P.H. Cornillon, E.M. Lober, Regression – Theory and application , Ed Springer
Collège Français de Métrologie (CFM): "Application of the new VIM 3 calibration concept" and the associated M-CARE processing software, downloadable from the CFM website
ToolNormative reference
Standard NF T 90-210 "Qualité de l'eau – Protocol for the initial evaluation of the performance of a method in a laboratory".
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