Data Fitting


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NMR Titration Data Fitting Tool  v.2.0

This is a set of scripts that helps with processing of NMR pH titration data.

EASY-FIT Express  v.1.0

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting.





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Visual Fitting  v.2.5.0

Math tool for linear, nonlinear curve fitting and surface fitting, curve and surface can be created.

CurvFit  v.6.11

A curve fitting program: Lorentzian, Sine, Exponential & Power series are available models to match your data. A Lorentzian series is recommended for real data especially for multiple peaked data. Another improved productivity example.

EASY-FIT ModelDesign  v.5 13

Proceeding from given experimental data, i.e., observation times and measurements, the minimum least squares distances of measured data from a fitting criterion are computed, which depends on the solution of the dynamic system.

TableCurve 2D  v.5. 1. 2005

Now you can save time with TableCurve 2D - a linear and non-linear curve fitting program.

DataFitting  v.1.7.22

DataFitting is a powerful statistical analysis program that performs linear and nonlinear regression analysis (i.e. curve fitting).

Regression Analysis - CurveFitter  v.4.5.6

CurveFitter program performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions.

CurveFitter  v.4.5.22

CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions.

Gepasi  v.3 3

Gepasi is a software package for modeling biochemical systems.

Dwi-toolbox  v.0.1

The dwi-toolbox provides a set of free and open-source Matlab routines for the simulation and analysis of Diffusion-Weighted Magnetic Resonance Imaging data.

Nonlinear regression - CurveFitter  v.4.5.61

CurveFitter performs statistical regression analysis to estimate the values of parameters for linear, multivariate, polynomial, exponential and nonlinear functions.

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