com.itemanalysis.psychometrics.distribution

Class UniformDistributionApproximation

java.lang.Object

com.itemanalysis.psychometrics.distribution.AbstractDistributionApproximation

com.itemanalysis.psychometrics.distribution.UniformDistributionApproximation

All Implemented Interfaces:

DistributionApproximation

public final class UniformDistributionApproximation
extends AbstractDistributionApproximation

An immutable object for creating evaluation points and associated density values. This class creates a set of evenly spaced evaluation points between the the minimum and maximum values. The density for each point is also computed.

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
UniformDistributionApproximation(double min, double max, int numberOfPoints) Create a uniform distribution with a specified number of evaluation points between the min and max values.

Method Summary

Modifier and Type	Method and Description
void	setDensityAt(int index, double value)
void	setPointAt(int index, double value)
java.lang.String	toString()

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

UniformDistributionApproximation

public UniformDistributionApproximation(double min,
                                        double max,
                                        int numberOfPoints)

Create a uniform distribution with a specified number of evaluation points between the min and max values.

Parameters:

min - minimum value of the distribution.

max - maximum value of the distribution.

numberOfPoints - number of points in the distribution.

Method Detail

setDensityAt

public void setDensityAt(int index,
                         double value)

setPointAt

public void setPointAt(int index,
                       double value)

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object