Examples of makeDistribution()

Examples of org.apache.commons.math.distribution.BinomialDistributionTest.makeDistribution()

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        BinomialDistributionTest testInstance = new BinomialDistributionTest("");
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        BinomialDistributionImpl distribution = (BinomialDistributionImpl) 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.math.distribution.HypergeometricDistributionTest.makeDistribution()

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        HypergeometricDistributionTest testInstance = new HypergeometricDistributionTest("");
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        HypergeometricDistributionImpl distribution = (HypergeometricDistributionImpl) 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.math.distribution.PascalDistributionTest.makeDistribution()

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        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.math.distribution.ZipfDistributionTest.makeDistribution()

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        ZipfDistributionTest testInstance = new ZipfDistributionTest("");
        int[] densityPoints = testInstance.makeDensityTestPoints();
        double[] densityValues = testInstance.makeDensityTestValues();
        int sampleSize = 1000;
        int length = TestUtils.eliminateZeroMassPoints(densityPoints, densityValues);
        ZipfDistributionImpl distribution = (ZipfDistributionImpl) 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.BinomialDistributionTest.makeDistribution()

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        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];
        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.BinomialDistributionTest.makeDistribution()

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        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];
        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.BinomialDistributionTest.makeDistribution()

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        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];
        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.BinomialDistributionTest.makeDistribution()

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        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];
        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.BinomialDistributionTest.makeDistribution()

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        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];
        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.HypergeometricDistributionTest.makeDistribution()

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        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];
        long[] observedCounts = new long[length];
        for (int i = 0; i < length; i++) {
            expectedCounts[i] = sampleSize * densityValues[i];
        }
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