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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.
/*
* 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:
*
* -
* Negative Binomial Distribution
* 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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