/* * Copyright (c) 2014 Oculus Info Inc. * http://www.oculusinfo.com/ * * Released under the MIT License. * * Permission is hereby granted, free of charge, to any person obtaining a copy of * this software and associated documentation files (the "Software"), to deal in * the Software without restriction, including without limitation the rights to * use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies * of the Software, and to permit persons to whom the Software is furnished to do * so, subject to the following conditions: * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ package com.oculusinfo.math.statistics; import junit.framework.Assert; import org.junit.Test; public class PoissonDistributionTests { // Test that our Poisson distribution creates the distribution it says it does. @Test public void testPoissonDistributionMeanAndBounds () { PoissonDistribution distribution = new PoissonDistribution(10); int N = 100000; double total = 0.0; double min = Double.MAX_VALUE; double max = Double.MIN_VALUE; for (int n = 0; n < N; ++n) { double sample = distribution.sample(); total = total + sample; if (sample < min) min = sample; if (sample > max) max = sample; } double mean = total/N; System.out.println("Generated "+N+" numbers in a poisson distribution."); System.out.println("\tMean was "+mean); System.out.println("\tMinimum was "+min); System.out.println("\tMaximum was "+max); // With N=100000, minimum is going to almost always be 0, and max is // almost always going to be >25 // And the mean is going to be lambda +-.1% (or, with lambda=10, +- 0.01) // We leave a little slop just to make sure this never really fails, since // it is a probabilistic test. Assert.assertTrue(mean > 9.9); Assert.assertTrue(mean < 10.1); Assert.assertTrue(min < 2); Assert.assertTrue(max > 20); } }