Non-Linear Least-Squares Regression

• Sidney Young ^[1] ; Andrzej Wierzbicki ^[1]
  1. [1] University of South Alabama

     University of South Alabama

     Estados Unidos

     
• Localización: Journal of chemical education, ISSN 0021-9584, Vol. 77, Nº 5 (May), 2000, págs. 669-670
• Idioma: inglés
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• Resumen

  • Nonlinear least-squares regression is often required in the physical chemistry laboratory. It is especially important for fitting functions that cannot be linearized. This template demonstrates various implicit and explicit methods for determining of the parameters of the regressed curve obtained by nonlinear curve-fitting.