QuadraticRegression_M

Computes quadratic regression of given point set using selected M-estimator for outlier suppression.

Name	Type	Range	Description
inYValues	Real Array		Sequence of ordinates
inXValues	Real Array *		Sequence of abscissae, or {0, 1, 2, ...} by default
inOutlierSuppression	MEstimator
inClippingFactor	Real	0.675 - 6.0	Multitude of standard deviation within which points are considered inliers
inIterationCount	Integer	0 -	Number of iterations of outlier suppressing algorithm
inInitialQuadraticFunction	QuadraticFunction *		Initial approximation of the output quadratic function (if available)
outQuadraticFunction	QuadraticFunction		Quadratic function approximating the given point set
outEstimatedValues	Real Array		The result of application of the computed function to the X values
outResiduals	Real Array		Difference between an input Y value and the corresponding estimated value
outYInliers	Real Array		Coordinate of the inlying points of the best parabola
outXInliers	Real Array		Coordinate of the inlying points of the best parabola

This filter can throw an exception to report error. Read how to deal with errors in Error Handling.

List of possible exceptions:

Error type	Description
DomainError	Inconsistent size of arrays in QuadraticRegression_M.

This filter is available on Basic Complexity Level.

This filter is member of QuadraticRegression filter group.