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Home Programming DataLab DLabPascal Mathematical Functions Curve Fitting Methods CalcReciHyperbolFit
See also: CalcHyperbolFit, CalcReciLinFit 

CalcReciHyperbolFit

Declaration:TCurveFit.CalcReciHyperbolFit (var k0,k1: double; var FitQual: double);
The procedure CalcReciHyperbolFit calculates the best fitting reciprocal hyperbola for a given set of data. The reciprocal hyperbola is determined by the equation

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 datasets (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.