| /* |
| * Copyright 2003-2004 The Apache Software Foundation. |
| * |
| * Licensed 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; |
| |
| import java.io.Serializable; |
| |
| import org.apache.commons.math.MathException; |
| import org.apache.commons.math.special.Beta; |
| import org.apache.commons.math.util.MathUtils; |
| |
| /** |
| * The default implementation of {@link BinomialDistribution}. |
| * |
| * @version $Revision$ $Date$ |
| */ |
| public class BinomialDistributionImpl |
| extends AbstractIntegerDistribution |
| implements BinomialDistribution, Serializable { |
| |
| /** Serializable version identifier */ |
| static final long serialVersionUID = 6751309484392813623L; |
| |
| /** The number of trials. */ |
| private int numberOfTrials; |
| |
| /** The probability of success. */ |
| private double probabilityOfSuccess; |
| |
| /** |
| * Create a binomial distribution with the given number of trials and |
| * probability of success. |
| * @param trials the number of trials. |
| * @param p the probability of success. |
| */ |
| public BinomialDistributionImpl(int trials, double p) { |
| super(); |
| setNumberOfTrials(trials); |
| setProbabilityOfSuccess(p); |
| } |
| |
| /** |
| * Access the number of trials for this distribution. |
| * @return the number of trials. |
| */ |
| public int getNumberOfTrials() { |
| return numberOfTrials; |
| } |
| |
| /** |
| * Access the probability of success for this distribution. |
| * @return the probability of success. |
| */ |
| public double getProbabilityOfSuccess() { |
| return probabilityOfSuccess; |
| } |
| |
| /** |
| * Change the number of trials for this distribution. |
| * @param trials the new number of trials. |
| * @throws IllegalArgumentException if <code>trials</code> is not a valid |
| * number of trials. |
| */ |
| public void setNumberOfTrials(int trials) { |
| if (trials < 0) { |
| throw new IllegalArgumentException("number of trials must be non-negative."); |
| } |
| numberOfTrials = trials; |
| } |
| |
| /** |
| * Change the probability of success for this distribution. |
| * @param p the new probability of success. |
| * @throws IllegalArgumentException if <code>p</code> is not a valid |
| * probability. |
| */ |
| public void setProbabilityOfSuccess(double p) { |
| if (p < 0.0 || p > 1.0) { |
| throw new IllegalArgumentException("probability of success must be between 0.0 and 1.0, inclusive."); |
| } |
| probabilityOfSuccess = p; |
| } |
| |
| /** |
| * Access the domain value lower bound, based on <code>p</code>, used to |
| * bracket a PDF root. |
| * |
| * @param p the desired probability for the critical value |
| * @return domain value lower bound, i.e. |
| * P(X < <i>lower bound</i>) < <code>p</code> |
| */ |
| protected int getDomainLowerBound(double p) { |
| return -1; |
| } |
| |
| /** |
| * Access the domain value upper bound, based on <code>p</code>, used to |
| * bracket a PDF root. |
| * |
| * @param p the desired probability for the critical value |
| * @return domain value upper bound, i.e. |
| * P(X < <i>upper bound</i>) > <code>p</code> |
| */ |
| protected int getDomainUpperBound(double p) { |
| return getNumberOfTrials(); |
| } |
| |
| /** |
| * For this distribution, X, this method returns P(X ≤ x). |
| * @param x the value at which the PDF is evaluated. |
| * @return PDF for this distribution. |
| * @throws MathException if the cumulative probability can not be |
| * computed due to convergence or other numerical errors. |
| */ |
| public double cumulativeProbability(int x) throws MathException { |
| double ret; |
| if (x < 0) { |
| ret = 0.0; |
| } else if (x >= getNumberOfTrials()) { |
| ret = 1.0; |
| } else { |
| ret = |
| 1.0 - Beta.regularizedBeta( |
| getProbabilityOfSuccess(), |
| x + 1.0, |
| getNumberOfTrials() - x); |
| } |
| return ret; |
| } |
| |
| /** |
| * For this disbution, X, this method returns P(X = x). |
| * |
| * @param x the value at which the PMF is evaluated. |
| * @return PMF for this distribution. |
| */ |
| public double probability(int x) { |
| double ret; |
| if (x < 0 || x > getNumberOfTrials()) { |
| ret = 0.0; |
| } else { |
| ret = MathUtils.binomialCoefficientDouble( |
| getNumberOfTrials(), x) * |
| Math.pow(getProbabilityOfSuccess(), x) * |
| Math.pow(1.0 - getProbabilityOfSuccess(), |
| getNumberOfTrials() - x); |
| } |
| return ret; |
| } |
| |
| /** |
| * For this distribution, X, this method returns the largest x, such |
| * that P(X ≤ x) ≤ <code>p</code>. |
| * <p> |
| * Returns <code>-1</code> for p=0 and <code>Integer.MAX_VALUE</code> for |
| * p=1. |
| * |
| * @param p the desired probability |
| * @return the largest x such that P(X ≤ x) <= p |
| * @throws MathException if the inverse cumulative probability can not be |
| * computed due to convergence or other numerical errors. |
| * @throws IllegalArgumentException if p < 0 or p > 1 |
| */ |
| public int inverseCumulativeProbability(final double p) throws MathException { |
| // handle extreme values explicitly |
| if (p == 0) { |
| return -1; |
| } |
| if (p == 1) { |
| return Integer.MAX_VALUE; |
| } |
| |
| // use default bisection impl |
| return super.inverseCumulativeProbability(p); |
| } |
| } |