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  Home > JCE Print > Journal of Chemical Education > Issues > 2000  > May  >
Information • Textbooks • Media • Resources
Mathcad in the Chemistry Curriculum
Non-Linear Least-Squares Regression
Sidney Young and Andrzej Wierzbicki
Department of Chemistry, University of South Alabama, Mobile, AL 36688
Cover
May 2000
Vol. 77 No. 5
p. 669
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.
Supplement
Please refer to the JCE Internet Mathcad in the Chemistry Curriculum feature for the supplement to this article.
*  Contents
*  Download
More Information
*  Citation
 Young, Sidney; Wierzbicki, Andrzej. J. Chem. Educ. 2000 77 669.
*  Keywords
 Computer Assisted Instruction; Statistics / Data Analysis; Laboratory Computing / Interfacing; Physical Chemistry
*  History
 Created:
Last Updated:		 March 31, 2000
August 31, 2005
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