fitting high order polynomials and rationals. Graphically Review Curve Fit Results: Once your data have been fit, Curvefitter automatically sorts and plots the fitted equations by the statistical criteria of Standard Error. A residual graph as well as parameter output is generated for the selected fitted equation within the Review Curve Fit window. With All This Power, it is Still Easy to Use: Curvefitter takes full advantage of the Windows user

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Fitting 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

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Fit is a tool used to perform nonlinear regression (curve fitting), statistical analysis and data plotting. What sets DataFit apart from similar curve fitting and regression programs is its ease of use. DataFit is driven by a well-designed graphical interface, so there are no complicated instructions to remember and no programs to write. Data entry is achieved through a standard spreadsheet interface, which supports ASCII and ODBC data source import

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curve fitting, and digitizing tool. FindGraph offers 12 generic fits, including linear regression, logistic functions, fourier approximation, neural networks, B-splines and parametric curves least squares approximations, plus a library of over 300 industry-specific 2D formulas. Built-in Wizard helps to apply different curve fits to discover the model that best describes the data. Last version includes the peak fitting features. The software enables

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CurvFit (tm) is a curve fitting program 4 Windows. Lorentzian, Sine, Exponential & Power series are available models to match your data. A Lorentzian series is highly recommended for real data especially for multiple peaked/valleys data. CurvFit is another improved productivity example do to using Calculus (level) programming ... ie. minutes to solve, days or years to understand solution & what it implies (e.g. wrong model, sampling rate error).

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NLREG performs nonlinear regression and curve fitting. NLREG fits a mathematical function whose form you specify to a set of data values. Virtually any type of function can be fitted. NLREG includes a programming language similar to C that you use for describing the function to be fitted. Two dimensional line and three dimensional surface plots can be generated.

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