HANSoft CurveFit 4.0

Easy CurveFit" is a very easy tool to fit curve.

Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points, possibly subject to constraints.Curve fitting can involve either interpolation, where an exact fit to the data is required, or smoothing, in which a "smooth" function is constructed that approximately fits the data. A related topic is regression analysis, which focuses more on questions of statistical inference such as how much uncertainty is present in a curve that is fit to data observed with random errors. Fitted curves can be used as an aid for data visualization, to infer values of a function where no data are available, and to summarize the relationships among two or more variables. Extrapolation refers to the use of a fitted curve beyond the range of the observed data, and is subject to a greater degree of uncertainty since it may reflect the method used to construct the curve as much as it reflects the observed data.

Only three steps you should do, and you'll get the fitting curve and the needed parameters. The models include linear and nonlinear.

Regressions:

• 1. Linear Fit, y=a+bx;
• 2. Quadratic Fit, y=a+bx+cx^2;
• 3. Compound Fit, y=ab^x;
• 4. Logatithmic Fit, y=a+b*ln(x);
• 5. Exponential Fit, y=a*exp(bx);
• 6. Power Fit, y=a*x^b;
• 7. Inverse Fit, y=a+b/x;
• 8. hyperbola Fit, y=ax/(b+x);
• 9. Geometric Fit, y=ax^(bx);
• 10. Geometric Fit, y=ax^(b/x);

Download

Rapidshare | DepositFiles