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The Math project is a library of lightweight, self-contained mathematics and statistics components addressing the most common practical problems not immediately available in the Java programming language or commons-lang.

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/*
 * 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;

/**
 * The Pascal distribution.  The Pascal distribution is a special case of the
 * Negative Binomial distribution where the number of successes parameter is an
 * integer.
 * 
 * There are various ways to express the probability mass and distribution
 * functions for the Pascal distribution.  The convention employed by the
 * library is to express these functions in terms of the number of failures in
 * a Bernoulli experiment [2].
 *
 * 

* References: *

    *
  1. * Negative Binomial Distribution
  2. * Waiting Time in a Bernoulli Process * *

    * * @version $Revision: 670469 $ $Date: 2008-06-23 04:01:38 -0400 (Mon, 23 Jun 2008) $ * @since 1.2 */ public interface PascalDistribution extends IntegerDistribution { /** * Access the number of successes for this distribution. * * @return the number of successes */ int getNumberOfSuccesses(); /** * Access the probability of success for this distribution. * * @return the probability of success */ double getProbabilityOfSuccess(); /** * Change the number of successes for this distribution. * * @param successes the new number of successes */ void setNumberOfSuccesses(int successes); /** * Change the probability of success for this distribution. * * @param p the new probability of success */ void setProbabilityOfSuccess(double p); }




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