blob: cc11e25cd9ace875199a1233b84bda80328c035c [file] [log] [blame]
/*
* 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 PascalDistribution.
* Extends IntegerDistributionAbstractTest. See class javadoc for
* IntegerDistributionAbstractTest for details.
*
* @version $Revision:$ $Date:$
*/
public class PascalDistributionTest extends IntegerDistributionAbstractTest {
/**
* Constructor for PascalDistributionTest.
* @param name
*/
public PascalDistributionTest(String name) {
super(name);
}
//-------------- Implementations for abstract methods -----------------------
/** Creates the default discrete distribution instance to use in tests. */
public IntegerDistribution makeDistribution() {
return new PascalDistributionImpl(10,0.70);
}
/** Creates the default probability density test input values */
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 */
public double[] makeDensityTestValues() {
return new double[] {0d, 0.02824d, 0.08474d, 0.13982d,
0.16779d, 0.16359d, 0.1374d, 0.10306d, 0.070673d, 0.04505d, 0.02703d, 0.01540d, 0.0084};
}
/** Creates the default cumulative probability density test input values */
public int[] makeCumulativeTestPoints() {
return makeDensityTestPoints();
}
/** Creates the default cumulative probability density test expected values */
public double[] makeCumulativeTestValues() {
return new double[] {0d, 0.02824d, 0.11299d, 0.25281d, 0.42060d, 0.58420d,
0.72162d, 0.82468d, 0.89535d, 0.94041d, 0.967446d, 0.98285, 0.99125d};
}
/** Creates the default inverse cumulative probability test input values */
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 */
public int[] makeInverseCumulativeTestValues() {
return new int[] {-1, -1, -1, -1, 0, 0, 13, 10, 9, 8, 7, Integer.MAX_VALUE};
}
//----------------- Additional test cases ---------------------------------
/** Test degenerate case p = 0 */
public void testDegenerate0() throws Exception {
setDistribution(new PascalDistributionImpl(5,0.0d));
setCumulativeTestPoints(new int[] {-1, 0, 1, 5, 10 });
setCumulativeTestValues(new double[] {0d, 0d, 0d, 0d, 0d});
setDensityTestPoints(new int[] {-1, 0, 1, 10, 11});
setDensityTestValues(new double[] {0d, 0d, 0d, 0d, 0d});
setInverseCumulativeTestPoints(new double[] {0.1d, 0.5d});
setInverseCumulativeTestValues(new int[] {Integer.MAX_VALUE - 1, Integer.MAX_VALUE - 1});
verifyDensities();
verifyCumulativeProbabilities();
verifyInverseCumulativeProbabilities();
}
/** Test degenerate case p = 1 */
public void testDegenerate1() throws Exception {
setDistribution(new PascalDistributionImpl(5,1.0d));
setCumulativeTestPoints(new int[] {-1, 0, 1, 2, 5, 10 });
setCumulativeTestValues(new double[] {0d, 1d, 1d, 1d, 1d, 1d});
setDensityTestPoints(new int[] {-1, 0, 1, 2, 5, 10});
setDensityTestValues(new double[] {0d, 1d, 0d, 0d, 0d, 0d});
setInverseCumulativeTestPoints(new double[] {0.1d, 0.5d});
setInverseCumulativeTestValues(new int[] {-1, -1});
verifyDensities();
verifyCumulativeProbabilities();
verifyInverseCumulativeProbabilities();
}
}