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ASTM E2617-17 + Redline

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ASTM E2617-17 + Redline

Standard Practice for Validation of Empirically Derived Multivariate Calibrations

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1.1 This practice covers requirements for the validation of empirically derived calibrations (Note 1) such as calibrations derived by Multiple Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS), Artificial Neural Networks (ANN), or any other empirical calibration technique whereby a relationship is postulated between a set of variables measured for a given sample under test and one or more physical, chemical, quality, or membership properties applicable to that sample.

Note 1: Empirically derived calibrations are sometimes referred to as “models” or “calibrations.” In the following text, for conciseness, the term “calibration” may be used instead of the full name of the procedure.

Author ASTM
Editor ASTM
Document type Standard
Format File
ICS 17.020 : Metrology and measurement in general
Number of pages 11
Replace ASTM E2617-10 + Redline
Set ASTMVOL0306
Year 2017
Document history ASTM E2617-10 + Redline
Country USA
Keyword ASTM 2617;ASTM E2617;ASTM E2617;10.1520/E2617-17