com.mockturtlesolutions.snifflib.invprobs

Class AbstractWeightAlgorithm

java.lang.Object

com.mockturtlesolutions.snifflib.invprobs.AbstractWeightAlgorithm

All Implemented Interfaces:

WeightAlgorithm

Direct Known Subclasses:

BiweightWeightAlgorithm, EpanechnikovWeightAlgorithm, NormalWeightAlgorithm, TricubeWeightAlgorithm, TriweightWeightAlgorithm, UniformWeightAlgorithm

public abstract class AbstractWeightAlgorithm
extends java.lang.Object
implements WeightAlgorithm

Abstract class for kernel -based weight functions.

Constructor Summary

Constructors

Constructor and Description
AbstractWeightAlgorithm() Default constructor.

Method Summary

Methods

Modifier and Type	Method and Description
abstract DblMatrix	getWeight(DblMatrix D) Get the weight of a particular value.
boolean	isTrueDensity() Returns true if the weights are being calculated under a true density.
void	useTrueDensity(boolean x) Set the normalizing behavior of the weight calculation.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AbstractWeightAlgorithm

public AbstractWeightAlgorithm()

Default constructor.

Method Detail

useTrueDensity

public void useTrueDensity(boolean x)

Set the normalizing behavior of the weight calculation.

Specified by:

useTrueDensity in interface WeightAlgorithm

isTrueDensity

public boolean isTrueDensity()

Returns true if the weights are being calculated under a true density. By true density we mean a kernel that integrates to 1 over its support.

Specified by:

isTrueDensity in interface WeightAlgorithm

getWeight

public abstract DblMatrix getWeight(DblMatrix D)

Get the weight of a particular value.

Specified by:

getWeight in interface WeightAlgorithm