Examples of PascalDistributionTest

org.apache.commons.math.distribution.PascalDistributionTest
Test cases for PascalDistribution. Extends IntegerDistributionAbstractTest. See class javadoc for IntegerDistributionAbstractTest for details. @version $Revision: 924351 $ $Date: 2010-03-17 12:19:29 -0400 (Wed, 17 Mar 2010) $
org.apache.commons.math3.distribution.PascalDistributionTest
Test cases for PascalDistribution. Extends IntegerDistributionAbstractTest. See class javadoc for IntegerDistributionAbstractTest for details.

Examples of org.apache.commons.math.distribution.PascalDistributionTest

        }
        TestUtils.assertChiSquareAccept(densityPoints, expectedCounts, observedCounts, .001);
    }
    
    public void testNextPascal() throws Exception {
        PascalDistributionTest testInstance = new PascalDistributionTest("");
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        PascalDistributionImpl distribution = (PascalDistributionImpl) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
        long[] observedCounts = new long[length];
        for (int i = 0; i < length; i++) {
            expectedCounts[i] = sampleSize * densityValues[i];
        }

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Examples of org.apache.commons.math3.distribution.PascalDistributionTest

        TestUtils.assertChiSquareAccept(densityPoints, expectedCounts, observedCounts, .001);
    }


    @Test
    public void testNextPascal() {
        PascalDistributionTest testInstance = new PascalDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        PascalDistribution distribution = (PascalDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
        long[] observedCounts = new long[length];
        for (int i = 0; i < length; i++) {
            expectedCounts[i] = sampleSize * densityValues[i];
        }

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Examples of org.apache.commons.math3.distribution.PascalDistributionTest

        TestUtils.assertChiSquareAccept(densityPoints, expectedCounts, observedCounts, .001);
    }


    @Test
    public void testNextPascal() {
        PascalDistributionTest testInstance = new PascalDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        PascalDistribution distribution = (PascalDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
        long[] observedCounts = new long[length];
        for (int i = 0; i < length; i++) {
            expectedCounts[i] = sampleSize * densityValues[i];
        }

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Examples of org.apache.commons.math3.distribution.PascalDistributionTest

        TestUtils.assertChiSquareAccept(densityPoints, expectedCounts, observedCounts, .001);
    }


    @Test
    public void testNextPascal() {
        PascalDistributionTest testInstance = new PascalDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        PascalDistribution distribution = (PascalDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
        long[] observedCounts = new long[length];
        for (int i = 0; i < length; i++) {
            expectedCounts[i] = sampleSize * densityValues[i];
        }

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Examples of org.apache.commons.math3.distribution.PascalDistributionTest

        TestUtils.assertChiSquareAccept(densityPoints, expectedCounts, observedCounts, .001);
    }


    @Test
    public void testNextPascal() {
        PascalDistributionTest testInstance = new PascalDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        PascalDistribution distribution = (PascalDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
        long[] observedCounts = new long[length];
        for (int i = 0; i < length; i++) {
            expectedCounts[i] = sampleSize * densityValues[i];
        }

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Examples of org.apache.commons.math3.distribution.PascalDistributionTest

        TestUtils.assertChiSquareAccept(densityPoints, expectedCounts, observedCounts, .001);
    }


    @Test
    public void testNextPascal() throws Exception {
        PascalDistributionTest testInstance = new PascalDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        PascalDistribution distribution = (PascalDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
        long[] observedCounts = new long[length];
        for (int i = 0; i < length; i++) {
            expectedCounts[i] = sampleSize * densityValues[i];
        }

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