Package org.apache.commons.math3.distribution

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

1133
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1134
1135
1136
1137
1138
1139
1140
1141
1142
1143
1144
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1111
1112
1113
1114
1115
1116
1117
1118
1119
1120
1121
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1125
1126
1127
1128
1129
1130
1131
1132
1133
1134
1135
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1159
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1160
1161
1162
1163
1164
1165
1166
1167
1168
1169
1170
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1163
1164
1165
1166
1167
1168
1169
1170
1171
1172
1173
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1137
1138
1139
1140
1141
1142
1143
1144
1145
1146
1147
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
1151
1152
1153
1154
1155
1156
1157
1158
1159
1160
1161
    @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];
        long[] observedCounts = new long[length];
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. All rights reserved.
All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.