2010
DOI: 10.1038/nprot.2009.182
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Nonlinear least-squares data fitting in Excel spreadsheets

Abstract: We describe an intuitive and rapid procedure for analyzing experimental data by nonlinear least-squares fitting (NLSF) in the most widely used spreadsheet program. Experimental data in x/y form and data calculated from a regression equation are inputted and plotted in a Microsoft Excel worksheet, and the sum of squared residuals is computed and minimized using the Solver add-in to obtain the set of parameter values that best describes the experimental data. The confidence of best-fit values is then visualized … Show more

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Cited by 464 publications
(393 citation statements)
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“…Fitting and statistical analysis of the experimental results to the proposed equations were carried out in four phases: 1) Coefficients determination: Parametric estimates were obtained by minimization of the sum of the quadratic differences between observed and model-predicted values, using the nonlinear least-squares (quasi-Newton) method provided by the macro Solver in Microsoft Excel 2003 (Kemmer and Keller, 2010), which allows a quick testing of a hypotheses and its consequences .…”
Section: Numerical Methods and Statistical Analysismentioning
confidence: 99%
“…Fitting and statistical analysis of the experimental results to the proposed equations were carried out in four phases: 1) Coefficients determination: Parametric estimates were obtained by minimization of the sum of the quadratic differences between observed and model-predicted values, using the nonlinear least-squares (quasi-Newton) method provided by the macro Solver in Microsoft Excel 2003 (Kemmer and Keller, 2010), which allows a quick testing of a hypotheses and its consequences .…”
Section: Numerical Methods and Statistical Analysismentioning
confidence: 99%
“…‱ Coefficients estimation was obtained by minimization the sum of quadratic differences between the observed and model-predicted values, using the nonlinear least-squares (quasi-Newton) method provided by the macro Solver in Microsoft Excel (Kemmer and Keller, 2010). …”
Section: Fitting Procedures and Statistical Analysismentioning
confidence: 99%
“…Each assay was performed in triplicate. The apparent kinetic constants were calculated by fitting the initial velocity data to the Henri-Michaelis-Menten's equation using Solver function in the Microsoft excel (85).…”
Section: Kinetic Assay Of F 420 H 2 -Dependent Trx Reductase (Dftr)-mentioning
confidence: 99%