Nonlinear regression - CurveFitter

Nonlinear regression - CurveFitter, in its latest version 4.5.69, is an excellent tool developed by the Institute of Mathematics and Statistics. This Science Tools program falls under the broader Education category, with a compact file size of just 1.3 MB, making it quite efficient in terms of storage.

One of the standout features of CurveFitter is its ability to perform statistical regression analysis to estimate parameters for linear, multivariate, polynomial, exponential, and nonlinear functions. This advanced capability ensures researchers, scientists, and engineers can find the best-fit model for their data, no matter how complex the circumstances.

CurveFitter offers incredible power by allowing the use of up to nine parameters and eight variables in any user-defined equations. It brilliantly handles nonlinear exponential, logarithmic, and power equations with a 38-digit precision math emulator, ensuring high-order polynomials and rationals are accurately fitted. Additionally, it provides graphical reviews, automatically sorting and plotting fitted equations by statistical criteria and generating residual graphs within the Review Curve Fit window.

Despite its advanced features, CurveFitter remains easy to use, thanks to its intuitive Windows user interface. Importing data from txt format and starting the automatic fitting process is a seamless experience, even for new users.

This program is free to download in a shareware license format, offering a perfect balance of power and accessibility.

Pros:

• Highly intuitive and simple to learn.
• Capable of fitting complex linear and nonlinear models.
• Offers graphical reviews and detailed parameter output.

Cons:

• Shareware license may require purchase for full features.
• May need a learning curve for those unfamiliar with statistical regression analysis.

You may want to check out more software, such as CurveFitter, Regression Analysis and Forecasting or Systems of Nonlinear Equations, which might be related to Nonlinear regression - CurveFitter.