org.apache.commons.math.distribution
Class HypergeometricDistributionTest

java.lang.Object
  junit.framework.Assert
      junit.framework.TestCase
          org.apache.commons.math.distribution.IntegerDistributionAbstractTest
              org.apache.commons.math.distribution.HypergeometricDistributionTest

All Implemented Interfaces:

junit.framework.Test

public class HypergeometricDistributionTest
extends IntegerDistributionAbstractTest

Test cases for HyperGeometriclDistribution. Extends IntegerDistributionAbstractTest. See class javadoc for IntegerDistributionAbstractTest for details.

Version:

$Revision: 545192 $ $Date: 2007-06-07 07:35:04 -0700 (Thu, 07 Jun 2007) $

Constructor Summary

HypergeometricDistributionTest(java.lang.String name)
Constructor for ChiSquareDistributionTest.

Method Summary

int[]	makeCumulativeTestPoints() Creates the default cumulative probability density test input values
double[]	makeCumulativeTestValues() Creates the default cumulative probability density test expected values
int[]	makeDensityTestPoints() Creates the default probability density test input values
double[]	makeDensityTestValues() Creates the default probability density test expected values
org.apache.commons.math.distribution.IntegerDistribution	makeDistribution() Creates the default discrete distribution instance to use in tests.
double[]	makeInverseCumulativeTestPoints() Creates the default inverse cumulative probability test input values
int[]	makeInverseCumulativeTestValues() Creates the default inverse cumulative probability density test expected values
void	testDegenerateFullSample() Verify that if sampleSize = populationSize, mass is concentrated on numberOfSuccesses
void	testDegenerateNoFailures() Verify that if there are no failures, mass is concentrated on sampleSize
void	testDegenerateNoSuccesses() Verify that if there are no successes, mass is concentrated on 0
void	testLargeValues()
void	testMoreLargeValues()
void	testPopulationSize()

Methods inherited from class org.apache.commons.math.distribution.IntegerDistributionAbstractTest

getCumulativeTestPoints, getCumulativeTestValues, getDensityTestPoints, getDensityTestValues, getDistribution, getInverseCumulativeTestPoints, getInverseCumulativeTestValues, getTolerance, setCumulativeTestPoints, setCumulativeTestValues, setDensityTestPoints, setDensityTestValues, setDistribution, setInverseCumulativeTestPoints, setInverseCumulativeTestValues, setTolerance, setUp, tearDown, testCumulativeProbabilities, testDensities, testFloatingPointArguments, testIllegalArguments, testInverseCumulativeProbabilities, verifyCumulativeProbabilities, verifyDensities, verifyInverseCumulativeProbabilities

Methods inherited from class junit.framework.TestCase

countTestCases, createResult, getName, run, run, runBare, runTest, setName, toString

Methods inherited from class junit.framework.Assert

assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertEquals, assertFalse, assertFalse, assertNotNull, assertNotNull, assertNotSame, assertNotSame, assertNull, assertNull, assertSame, assertSame, assertTrue, assertTrue, fail, fail, failNotEquals, failNotSame, failSame

Methods inherited from class java.lang.Object

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

Constructor Detail

HypergeometricDistributionTest

public HypergeometricDistributionTest(java.lang.String name)

Constructor for ChiSquareDistributionTest.

Parameters:

name -

Method Detail

makeDistribution

public org.apache.commons.math.distribution.IntegerDistribution makeDistribution()

Creates the default discrete distribution instance to use in tests.

Specified by:

makeDistribution in class IntegerDistributionAbstractTest

makeDensityTestPoints

public int[] makeDensityTestPoints()

Creates the default probability density test input values

Specified by:

makeDensityTestPoints in class IntegerDistributionAbstractTest

makeDensityTestValues

public double[] makeDensityTestValues()

Creates the default probability density test expected values

Specified by:

makeDensityTestValues in class IntegerDistributionAbstractTest

makeCumulativeTestPoints

public int[] makeCumulativeTestPoints()

Creates the default cumulative probability density test input values

Specified by:

makeCumulativeTestPoints in class IntegerDistributionAbstractTest

makeCumulativeTestValues

public double[] makeCumulativeTestValues()

Creates the default cumulative probability density test expected values

Specified by:

makeCumulativeTestValues in class IntegerDistributionAbstractTest

makeInverseCumulativeTestPoints

public double[] makeInverseCumulativeTestPoints()

Creates the default inverse cumulative probability test input values

Specified by:

makeInverseCumulativeTestPoints in class IntegerDistributionAbstractTest

makeInverseCumulativeTestValues

public int[] makeInverseCumulativeTestValues()

Creates the default inverse cumulative probability density test expected values

Specified by:

makeInverseCumulativeTestValues in class IntegerDistributionAbstractTest

testDegenerateNoFailures

public void testDegenerateNoFailures()
                              throws java.lang.Exception

Verify that if there are no failures, mass is concentrated on sampleSize

Throws:

java.lang.Exception

testDegenerateNoSuccesses

public void testDegenerateNoSuccesses()
                               throws java.lang.Exception

Verify that if there are no successes, mass is concentrated on 0

Throws:

java.lang.Exception

testDegenerateFullSample

public void testDegenerateFullSample()
                              throws java.lang.Exception

Verify that if sampleSize = populationSize, mass is concentrated on numberOfSuccesses

Throws:

java.lang.Exception

testPopulationSize

public void testPopulationSize()

testLargeValues

public void testLargeValues()

testMoreLargeValues

public void testMoreLargeValues()