Coverage Report - org.apache.commons.math.distribution.NormalDistribution

Classes in this File Line Coverage Branch Coverage Complexity
NormalDistribution
N/A 
N/A 
1

 1  
 /*
 2  
  * Copyright 2004 The Apache Software Foundation.
 3  
  *
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  * Licensed under the Apache License, Version 2.0 (the "License");
 5  
  * you may not use this file except in compliance with the License.
 6  
  * You may obtain a copy of the License at
 7  
  *
 8  
  *      http://www.apache.org/licenses/LICENSE-2.0
 9  
  *
 10  
  * Unless required by applicable law or agreed to in writing, software
 11  
  * distributed under the License is distributed on an "AS IS" BASIS,
 12  
  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 13  
  * See the License for the specific language governing permissions and
 14  
  * limitations under the License.
 15  
  */
 16  
 
 17  
 package org.apache.commons.math.distribution;
 18  
 
 19  
 /**
 20  
  * Normal (Gauss) Distribution.
 21  
  * Instances of NormalDistribution objects should be created using
 22  
  * {@link DistributionFactory#createNormalDistribution(double, double)}.<p>
 23  
  *
 24  
  * <p>
 25  
  * References:<p>
 26  
  * <ul>
 27  
  * <li><a href="http://mathworld.wolfram.com/NormalDistribution.html">
 28  
  * Normal Distribution</a></li>
 29  
  * </ul>
 30  
  * </p>
 31  
  *
 32  
  * @version $Revision$ $Date: 2005-06-26 15:20:57 -0700 (Sun, 26 Jun 2005) $
 33  
  */
 34  
 public interface NormalDistribution extends ContinuousDistribution {
 35  
     /**
 36  
      * Access the mean.
 37  
      * @return mean for this distribution
 38  
      */
 39  
     double getMean();
 40  
     /**
 41  
      * Modify the mean.
 42  
      * @param mean for this distribution
 43  
      */
 44  
     void setMean(double mean);
 45  
     /**
 46  
      * Access the standard deviation.
 47  
      * @return standard deviation for this distribution
 48  
      */
 49  
     double getStandardDeviation();
 50  
     /**
 51  
      * Modify the standard deviation.
 52  
      * @param sd standard deviation for this distribution
 53  
      */
 54  
     void setStandardDeviation(double sd);
 55  
 }