Click or drag to resize

SmoothingCubicSplineBasesperr1 Method

Calculates bayesian estimates of the standard errors of the fitted values of a cubic smoothing spline by calculating the diagonal elements of the influence matrix.

Namespace: Altaxo.Calc.Interpolation
Assembly: AltaxoCore (in AltaxoCore.dll) Version: 4.8.3572.0 (4.8.3572.0)
Syntax
C#
Copy
protected static void sperr1(
	double[] x,
	double avh,
	double[] dy,
	int n,
	double[][] R,
	double p,
	double var,
	double[] se
)

Parameters

x  Double
Abscissae values of the data points.
avh  Double
Scaling parameter for the x-intervals.
dy  Double
Relative standard deviation of the error associated with the data point i. Each dy[i] must be positive. The values were scaled by spint so that the sum of their squares is n.
n  Int32
Number of data points.
R  Double
Work array.
p  Double
The smoothing parameter transformed to the interval from 0 to 1.
var  Double
The variance estimate used to scale the returned standard errors.
se  Double
On return: contains the calculated standard errors.
See Also