WeightFunctions Class

public abstract class WeightFunctions

Public MustInherit Class WeightFunctions

public ref class WeightFunctions abstract

[<AbstractClassAttribute>]
type WeightFunctions =  class end

The WeightFunctions type exposes the following members.

	Name	Description
	WeightFunctions	Initializes a new instance of the WeightFunctions class

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetBisquareWeightVectorFromErrors(VectorDouble)	Returns a weight vector corresponding to the supplied error values using Tukey's bisquare estimator.
	GetBisquareWeightVectorFromErrors(VectorDouble, Double)	Returns a weight vector corresponding to the supplied error values using Tukey's bisquare estimator.
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetHuberWeightVectorFromErrors(VectorDouble)	Returns a weight vector corresponding to the supplied error values using Huber's M-estimator.
	GetHuberWeightVectorFromErrors(VectorDouble, Double)	Returns a weight vector corresponding to the supplied error values using Huber's M-estimator.
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	GetWeightVectorFromErrors	Returns a weight vector corresponding to the supplied error values.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

	Name	Description
	None	There is no weight function. All weights are assumed to be equal.
	OneOverX	The weight is equal to the reciprocal of the x-value.
	OneOverXSquared	The weight is equal to the reciprocal of the square of the x-value.
	OneOverY	The weight is equal to the reciprocal of the y-value.
	OneOverYSquared	The weight is equal to the reciprocal of the square of the y-value.

A weight function is a function that takes two parameters: the X and Y values of an observation, and returns the weight associated with that observation. The function is encapsulated in a function of two variables delegate.

The WeightFunctions class defines a set of commonly used weight functions for use in linear and nonlinear least squares fitting.

Reference