Non-Linear Least-Squares Regression

Sidney Young and Andrzej Wierzbicki
Department of Chemistry, University of South Alabama, Mobile, AL 36688
J. Chem. Educ., 2000, 77 (5), p 669
DOI: 10.1021/ed077p669.2
Publication Date (Web): May 1, 2000

Abstract

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.

Keywords (Audience):

Upper-Division Undergraduate

Keywords (Domain):

Physical Chemistry

Keywords (Pedagogy):

Computer-Based Learning

Keywords (Subject):

Chemometrics
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  • Received: August 03, 2009

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