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XLfit is a Microsoft Excel add-in that can perform regression analysis, curve fitting, and statistical analysis. It is approved by the UK National Physical Laboratory and the US National Institute of Standards and Technology [1] XLfit can generate 2D and 3D graphs and analyze data sets. XLfit can also analyse the statistical data.
Data analyses in Origin include statistics, signal processing, curve fitting and peak analysis. Origin's curve fitting is performed by a nonlinear least squares fitter which is based on the Levenberg–Marquardt algorithm. Origin imports data files in various formats such as ASCII text, Excel, NI TDM, DIADem, NetCDF, SPC, etc.
Curve fitting [1] [2] is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, [3] possibly subject to constraints. [ 4 ] [ 5 ] Curve fitting can involve either interpolation , [ 6 ] [ 7 ] where an exact fit to the data is required, or smoothing , [ 8 ] [ 9 ] in which a "smooth ...
Simfit is a free open-source Windows package for simulation, curve fitting, statistics, and plotting, using a library of models or user-defined mathematical equations. Simfit has been developed by Bill Bardsley of the University of Manchester. [1] Although it is written for Windows, it can easily be installed and used on Linux machines via WINE ...
PSI-Plot has implemented a broad ranges of commonly used data analysis methods, which include data interpolation, three different methods (Levenberg-Marquardt, Powell, and Simplex) for non-linear curve fitting, over one hundred built-in fitting models, multiple linear fitting, stepwise multiple liner fitting, generalized linear models (GMLs ...
The least-squares fit is a common method to fit a straight line through the data. This method minimizes the sum of the squared errors in the data series y {\displaystyle y} . Given a set of points in time t {\displaystyle t} and data values y t {\displaystyle y_{t}} observed for those points in time, values of a ^ {\displaystyle {\hat {a}}} and ...
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Unconstrained rational function fitting can, at times, result in undesired vertical asymptotes due to roots in the denominator polynomial. The range of x values affected by the function "blowing up" may be quite narrow, but such asymptotes, when they occur, are a nuisance for local interpolation in the neighborhood of the asymptote point.