Regression analysis in analytical chemistry. Determination and validation of linear and quadratic regression dependencies
The theory and practice of the extended statistical evaluation for linear and quadratic regression models used for calibration were presented. Two complete examples, solved step by step were presented as a short guide. The validation of regression dependences was based on classic F-Snedecor, Lack of Fit, F IUPAC and Mandel tests.
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| Main Authors: | , , , , |
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| Format: | Digital revista |
| Language: | English |
| Published: |
The South African Chemical Institute
2016
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| Online Access: | http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0379-43502016000100027 |
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| Summary: | The theory and practice of the extended statistical evaluation for linear and quadratic regression models used for calibration were presented. Two complete examples, solved step by step were presented as a short guide. The validation of regression dependences was based on classic F-Snedecor, Lack of Fit, F IUPAC and Mandel tests. |
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