Package org.apache.commons.math3.distribution

Examples of org.apache.commons.math3.distribution.HypergeometricDistributionTest.makeDensityTestPoints()

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    }

    @Test
    public void testNextBinomial() {
        BinomialDistributionTest testInstance = new BinomialDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        BinomialDistribution distribution = (BinomialDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
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    }

    @Test
    public void testNextBinomial() {
        BinomialDistributionTest testInstance = new BinomialDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        BinomialDistribution distribution = (BinomialDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
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    }

    @Test
    public void testNextBinomial() {
        BinomialDistributionTest testInstance = new BinomialDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        BinomialDistribution distribution = (BinomialDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
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    }

    @Test
    public void testNextBinomial() {
        BinomialDistributionTest testInstance = new BinomialDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        BinomialDistribution distribution = (BinomialDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
View Full Code Here
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    }

    @Test
    public void testNextBinomial() throws Exception {
        BinomialDistributionTest testInstance = new BinomialDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        BinomialDistribution distribution = (BinomialDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
View Full Code Here
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    }

    @Test
    public void testNextHypergeometric() {
        HypergeometricDistributionTest testInstance = new HypergeometricDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        HypergeometricDistribution distribution = (HypergeometricDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
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    }

    @Test
    public void testNextHypergeometric() {
        HypergeometricDistributionTest testInstance = new HypergeometricDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        HypergeometricDistribution distribution = (HypergeometricDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
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    }

    @Test
    public void testNextHypergeometric() {
        HypergeometricDistributionTest testInstance = new HypergeometricDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        HypergeometricDistribution distribution = (HypergeometricDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
View Full Code Here
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    }

    @Test
    public void testNextHypergeometric() {
        HypergeometricDistributionTest testInstance = new HypergeometricDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        HypergeometricDistribution distribution = (HypergeometricDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
View Full Code Here
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    }

    @Test
    public void testNextHypergeometric() throws Exception {
        HypergeometricDistributionTest testInstance = new HypergeometricDistributionTest();
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        HypergeometricDistribution distribution = (HypergeometricDistribution) testInstance.makeDistribution();
        double[] expectedCounts = new double[length];
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