CalcReciHyperbolFit

The values of x and y are given by the data samples, the parameters k0, and k1 are estimated by CalcReciHyperbolFit using a least squares approximation.

The data points [x,y] have to be entered using the routine EnterStatValue. A minimum number of 3 values is required in order to apply CalcReciHyperbolFit. Do not forget to reset the statistics calculation before entering any new data sets (use Init)

In addition to the parameters k0 and k1 CalcReciHyperbolFit returns the goodness of fit in the parameter FitQual. This quality of fit may vary between 0.0 and 1.0, indicating the best possible fit if FitQual equals 1.0.

Hint 1:

The quality of fit calculated by CalcReciHyperbolFit is not adjusted for the degree of freedoms in the regression parameters.

Hint 2:

Neither the x- nor the y-values are allowed to become than zero. The curve fitting algorithm raises an exception in the case of zero values.

Example:

This method is used in the following example program (see http://www.lohninger.com/examples.html for downloading the code): curvefit