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

Find out more from our six-article Curve Fitting Best Practice series that 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.