Fixed license header, added missing javadoc.

git-svn-id: https://svn.apache.org/repos/asf/jakarta/commons/proper/math/trunk@141326 13f79535-47bb-0310-9956-ffa450edef68
This commit is contained in:
Phil Steitz 2004-06-20 01:50:18 +00:00
parent a2e44f7732
commit 328e70e319
1 changed files with 30 additions and 19 deletions

View File

@ -1,19 +1,17 @@
/*
* Copyright 2004 The Apache Software Foundation.
*
* Copyright (c) 2004 The Apache Software Foundation. All rights reserved.
* 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
*
* 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
* 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.
*
* 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.stat.univariate;
@ -22,29 +20,41 @@ import java.io.Serializable;
/**
* Value object representing the results of a univariate statistical summary.
*
* @version $Revision: 1.1 $ $Date: 2004/05/18 04:17:29 $
* @version $Revision: 1.2 $ $Date: 2004/06/20 01:50:18 $
*/
public class StatisticalSummaryValues implements Serializable, StatisticalSummary {
public class StatisticalSummaryValues implements Serializable,
StatisticalSummary {
/** Serialization id */
static final long serialVersionUID = -5108854841843722536L;
/** The sample mean */
private double mean = Double.NaN;
/** The sample variance */
private double variance = Double.NaN;
/** The number of observations in the sample */
private long n = 0;
/** The maximum value */
private double max = Double.NaN;
/** The minimum value */
private double min = Double.NaN;
/** The sum of the sample values */
private double sum = Double.NaN;
/**
* Constructor
*
* @param mean
* @param variance
* @param n
* @param max
* @param min
* @param sum
* @param mean the sample mean
* @param variance the sample variance
* @param n the number of observations in the sample
* @param max the maximum value
* @param min the minimum value
* @param sum the sum of the values
*/
public StatisticalSummaryValues(double mean, double variance, long n,
double max, double min, double sum) {
@ -57,6 +67,7 @@ public class StatisticalSummaryValues implements Serializable, StatisticalSummar
this.sum = sum;
}
/** Private no argument contstructor */
private StatisticalSummaryValues() {
super();
}