Regression Analysis - DataFitting

This is a statistical analysis program. It performs linear and nonlinear regression analysis or curve fitting.

DataFitting is a statistical analysis program that lets you do curve fitting easily through linear and nonlinear regression. DataFitting basically determines the values of parameters for an equation for an equation that you are trying to fit the data. The parameters that can best describe the data. The tool is able to manage linear, polynomial, exponential, and general nonlinear functions. The software tries true non linear regression not a linearized approximation of a nonlinear curve. It is thus able to handle functions that are impossible to linearize. The tool has a large set of equations inside it so that researcher, be it students, teachers, engineers, and others able to try out a wide variety of equations and decide on the best possible fit. The array of equations cover a range of models from simple linear equations to high order polynomials. Any user-defined equations of up to nine parameters and eight variables can be accommodated. The maths is backed by a 38-digit precision math emulator for properly fitting high order polynomial and rational coefficients.

The interface shows you the data, the parameters from curve fitting, in a format that is convenient for the mathematically minded. You can ask the program to do a charting so that you get a visual clue to how good the fit really is. CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions. Curvefitter takes full advantage of the Windows user interface to simplify every aspect of operation from data import to output of results. Import data from text file. If you are into a lot of data fitting, this is a tool you should keep in your set of tools.

DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i.e. curve fitting). DataFitting determines the values of parameters for an equation, whose form you specify, that cause the equation to best fit a set of data values. DataFitting can handle linear, polynomial, exponential, and general nonlinear functions.
DataFitting performs true nonlinear regression analysis, it does not transform the function into a linear form. As a result, it can handle functions that are impossible to linearize such as:
y = (a - c) * exp(-b * x) + c
Quickly Find the Best Equations that Describe Your Data:
DataFitting gives students, teachers, engineers, researchers and other professionals the power to find the ideal model for even the most complex data, by putting a large number of equations at their fingertips. It has built-in library that includes a wide array of linear and nonlinear models from simple linear equations to high order polynomials.
Graphically Review Curve Fit Results:
Once your data have been fit, DataFitting automatically sorts and plots the fitted equations by the statistical criteria of Standard Error. You can preview your graph and output publication-quality graphs in several different configurations. A residual graph as well as parameter output is generated for the selected fitted equation. Data, statistical and numeric summaries are also available from within the report-panel.
DataFitting has the following capabilities:
* A 38-digit precision math emulator for properly fitting high order polynomials and rationals.
* A robust fitting capability for nonlinear fitting that effectively copes with outliers and a wide dynamic Y data range.