com.itemanalysis.psychometrics.distribution

Class UserSuppliedDistributionApproximation

java.lang.Object

com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

com.itemanalysis.psychometrics.distribution.UserSuppliedDistributionApproximation

All Implemented Interfaces:

DistributionApproximation

Deprecated.

@Deprecated
public final class UserSuppliedDistributionApproximation
extends AbstractDistributionApproximation

A distribution approximation that allows the user to provide the evaluation points and the density values. This is a class that can be used for numeric integration with user provided quadrature points and weights.

Field Summary

Fields inherited from class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

max, min, normal, numberOfPoints, points, range, step, weights

Constructor Summary

Constructors

Constructor and Description
UserSuppliedDistributionApproximation() Deprecated. Creates the distribution approximation with no evaluation points or density values.
UserSuppliedDistributionApproximation(double[] points, double[] density) Deprecated. Create the distribution approximation with an array of evaluation points and an array of density values provided by the user.

Method Summary

Modifier and Type	Method and Description
void	increment(double point) Deprecated. An evaluation points.
void	increment(double point, double density) Deprecated. Increment the array of evaluation points and weights with the provided values.
void	setDensityAt(int index, double value) Deprecated.
void	setPointAt(int index, double value) Deprecated.
java.lang.String	toString() Deprecated.

Methods inherited from class com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

evaluate, getDensityAt, getMaximum, getMean, getMinimum, getNumberOfPoints, getPointAt, getPoints, getStandardDeviation, getVariance, setNormalPointsAndWeights, setUniformPointsAndWeights, standardize

Methods inherited from class java.lang.Object

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

Constructor Detail

UserSuppliedDistributionApproximation

public UserSuppliedDistributionApproximation(double[] points,
                                             double[] density)

Deprecated.

Create the distribution approximation with an array of evaluation points and an array of density values provided by the user.

Parameters:

points - array of evaluation points.

density - array of density values.

UserSuppliedDistributionApproximation

public UserSuppliedDistributionApproximation()

Deprecated.

Creates the distribution approximation with no evaluation points or density values. This constructor is useful when the evaluation points and weights are provided incrementally with increment(double) or increment(double);

Method Detail

increment

public void increment(double point,
                      double density)

Deprecated.

Increment the array of evaluation points and weights with the provided values.

Parameters:

point - an evaluation point.

density - a density value.

increment

public void increment(double point)

Deprecated.

An evaluation points. This method will result in uniform density values.

Parameters:

point -

setDensityAt

public void setDensityAt(int index,
                         double value)

Deprecated.

setPointAt

public void setPointAt(int index,
                       double value)

Deprecated.

toString

public java.lang.String toString()

Deprecated.

Overrides:

toString in class java.lang.Object