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Commons Math example source code file (BinomialDistributionTest.java)
The Commons Math BinomialDistributionTest.java source code
/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with this
* work for additional information regarding copyright ownership. The ASF
* licenses this file to You under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
* http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law
* or agreed to in writing, software distributed under the License is
* distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the specific language
* governing permissions and limitations under the License.
*/
package org.apache.commons.math.distribution;
/**
* Test cases for BinomialDistribution. Extends IntegerDistributionAbstractTest.
* See class javadoc for IntegerDistributionAbstractTest for details.
*
* @version $Revision: 924345 $ $Date: 2009-09-05 12:36:48 -0500 (Sat, 05 Sep
* 2009) $
*/
public class BinomialDistributionTest extends IntegerDistributionAbstractTest {
/**
* Constructor for BinomialDistributionTest.
*
* @param name
*/
public BinomialDistributionTest(String name) {
super(name);
}
// -------------- Implementations for abstract methods
// -----------------------
/** Creates the default discrete distribution instance to use in tests. */
@Override
public IntegerDistribution makeDistribution() {
return new BinomialDistributionImpl(10, 0.70);
}
/** Creates the default probability density test input values */
@Override
public int[] makeDensityTestPoints() {
return new int[] { -1, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11 };
}
/** Creates the default probability density test expected values */
@Override
public double[] makeDensityTestValues() {
return new double[] { 0d, 0.0000059049d, 0.000137781d, 0.0014467d,
0.00900169d, 0.0367569d, 0.102919d, 0.200121d, 0.266828d,
0.233474d, 0.121061d, 0.0282475d, 0d };
}
/** Creates the default cumulative probability density test input values */
@Override
public int[] makeCumulativeTestPoints() {
return makeDensityTestPoints();
}
/** Creates the default cumulative probability density test expected values */
@Override
public double[] makeCumulativeTestValues() {
return new double[] { 0d, 0.0000d, 0.0001d, 0.0016d, 0.0106d, 0.0473d,
0.1503d, 0.3504d, 0.6172d, 0.8507d, 0.9718d, 1d, 1d };
}
/** Creates the default inverse cumulative probability test input values */
@Override
public double[] makeInverseCumulativeTestPoints() {
return new double[] { 0, 0.001d, 0.010d, 0.025d, 0.050d, 0.100d,
0.999d, 0.990d, 0.975d, 0.950d, 0.900d, 1 };
}
/**
* Creates the default inverse cumulative probability density test expected
* values
*/
@Override
public int[] makeInverseCumulativeTestValues() {
return new int[] { -1, 1, 2, 3, 4, 4, 9, 9, 9, 8, 8, Integer.MAX_VALUE };
}
// ----------------- Additional test cases ---------------------------------
/** Test degenerate case p = 0 */
public void testDegenerate0() throws Exception {
setDistribution(new BinomialDistributionImpl(5, 0.0d));
setCumulativeTestPoints(new int[] { -1, 0, 1, 5, 10 });
setCumulativeTestValues(new double[] { 0d, 1d, 1d, 1d, 1d });
setDensityTestPoints(new int[] { -1, 0, 1, 10, 11 });
setDensityTestValues(new double[] { 0d, 1d, 0d, 0d, 0d });
setInverseCumulativeTestPoints(new double[] { 0.1d, 0.5d });
setInverseCumulativeTestValues(new int[] { -1, -1 });
verifyDensities();
verifyCumulativeProbabilities();
verifyInverseCumulativeProbabilities();
}
/** Test degenerate case p = 1 */
public void testDegenerate1() throws Exception {
setDistribution(new BinomialDistributionImpl(5, 1.0d));
setCumulativeTestPoints(new int[] { -1, 0, 1, 2, 5, 10 });
setCumulativeTestValues(new double[] { 0d, 0d, 0d, 0d, 1d, 1d });
setDensityTestPoints(new int[] { -1, 0, 1, 2, 5, 10 });
setDensityTestValues(new double[] { 0d, 0d, 0d, 0d, 1d, 0d });
setInverseCumulativeTestPoints(new double[] { 0.1d, 0.5d });
setInverseCumulativeTestValues(new int[] { 4, 4 });
verifyDensities();
verifyCumulativeProbabilities();
verifyInverseCumulativeProbabilities();
}
}
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