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Excel curve fitting best practice

Our six-article Curve Fitting Best Practice series describes the steps that researchers can apply in a best practice process to ensure data is of the highest quality possible before curve fitting and analysis

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Applying Best Practice Processes to Your Curve Fitting and Data Analysis

Extracting the most accurate results from experimental data during curve fitting and subsequent analysis requires an understanding of the quality of the data (factors such as outlying data points, poorly fitting curves and incomplete data sets) and optimizing models before routine fitting analysis begins.

XLfit enables the expert modeler, the student and the novice to experiment with data, define best fits, visualize their fit data and rapidly fit multiple curve models – including secondary fit analysis – without the need to leave the Excel environment.



Get maximum value from your data

Get maximum value from your data

This first article in our Best Practice series examines ways to increase confidence in the accuracy of curve-fitting methods and describes how to avoid some of the common causes of unsuccessful curve fits.

Resolving Fitting Issues

Resolving Fitting Issues

Explore different ways to solve curve fitting issues, such as using ‘knock out’ of outlying data points to ensure an accurate fit. This article also examines the criteria used to select the correct fit model.

Fitting data

Fitting data

Explore the relative advantages and disadvantages of various fitting methodologies and provides guidance to users on selection of the most suitable fit models.

Parameters and Residuals

Parameters and Residuals

Understand the importance of parameters and their starting values in the fitting process. The concept of residuals, the criteria used to determine ‘goodness of fit’, is also introduced.

Robust Fitting and Complex Models

Robust Fitting and Complex Models

Learn why robust fitting is becoming a popular method of fitting data while neutralizing the effect of outliers in a data set.

Global and Three-Dimensional Fitting

Global and Three-Dimensional Fitting

Find out how global fitting combines multiple fits to find the optimum global parameter value for each of the fits.