From e08fbb00c3d1197024fc9dd1363ecdc2afec9fa7 Mon Sep 17 00:00:00 2001
From: Luc Maisonobe <luc@apache.org>
Date: Sat, 16 Feb 2008 16:29:40 +0000
Subject: [PATCH] removed javadoc links to the addValue method which does not
 belong to the interface

git-svn-id: https://svn.apache.org/repos/asf/commons/proper/math/trunk@628348 13f79535-47bb-0310-9956-ffa450edef68
---
 .../StatisticalMultivariateSummary.java       | 52 +++++++++----------
 1 file changed, 26 insertions(+), 26 deletions(-)

diff --git a/src/java/org/apache/commons/math/stat/descriptive/StatisticalMultivariateSummary.java b/src/java/org/apache/commons/math/stat/descriptive/StatisticalMultivariateSummary.java
index 3ec74f6f5..48af35f8c 100644
--- a/src/java/org/apache/commons/math/stat/descriptive/StatisticalMultivariateSummary.java
+++ b/src/java/org/apache/commons/math/stat/descriptive/StatisticalMultivariateSummary.java
@@ -31,39 +31,39 @@ public interface StatisticalMultivariateSummary {
      */
     public int getDimension();
     /**
-     * Returns an array whose ith entry is the mean of the
-     * ith entries of the arrays that have been added using 
-     * {@link #addValue(double[])}
+     * Returns an array whose i<sup>th</sup> entry is the
+     * mean of the i<sup>th</sup> entries of the arrays
+     * that correspond to each multivariate sample
      * 
      * @return the array of component means
      */
     public abstract double[] getMean();
     /** 
      * Returns the covariance of the available values.
-     * @return The covariance, null if no values have been added 
-     * or a zeroed matrix for a single value set.  
+     * @return The covariance, null if no multivariate sample
+     * have been added or a zeroed matrix for a single value set.  
      */
     public abstract RealMatrix getCovariance();
     /**
-     * Returns an array whose ith entry is the standard deviation of the
-     * ith entries of the arrays that have been added using 
-     * {@link #addValue(double[])}
+     * Returns an array whose i<sup>th</sup> entry is the
+     * standard deviation of the i<sup>th</sup> entries of the arrays
+     * that correspond to each multivariate sample
      * 
      * @return the array of component standard deviations
      */
     public abstract double[] getStandardDeviation();
     /**
-     * Returns an array whose ith entry is the maximum of the
-     * ith entries of the arrays that have been added using 
-     * {@link #addValue(double[])}
+     * Returns an array whose i<sup>th</sup> entry is the
+     * maximum of the i<sup>th</sup> entries of the arrays
+     * that correspond to each multivariate sample
      * 
      * @return the array of component maxima
      */
     public abstract double[] getMax();
     /**
-     * Returns an array whose ith entry is the minimum of the
-     * ith entries of the arrays that have been added using 
-     * {@link #addValue(double[])}
+     * Returns an array whose i<sup>th</sup> entry is the
+     * minimum of the i<sup>th</sup> entries of the arrays
+     * that correspond to each multivariate sample
      * 
      * @return the array of component minima
      */
@@ -74,33 +74,33 @@ public interface StatisticalMultivariateSummary {
      */
     public abstract long getN();
     /**
-     * Returns an array whose ith entry is the geometric mean of the
-     * ith entries of the arrays that have been added using 
-     * {@link #addValue(double[])}
+     * Returns an array whose i<sup>th</sup> entry is the
+     * geometric mean of the i<sup>th</sup> entries of the arrays
+     * that correspond to each multivariate sample
      * 
      * @return the array of component geometric means
      */
     public double[] getGeometricMean();
     /**
-     * Returns an array whose ith entry is the sum of the
-     * ith entries of the arrays that have been added using 
-     * {@link #addValue(double[])}
+     * Returns an array whose i<sup>th</sup> entry is the
+     * sum of the i<sup>th</sup> entries of the arrays
+     * that correspond to each multivariate sample
      * 
      * @return the array of component sums
      */
     public abstract double[] getSum();
     /**
-     * Returns an array whose ith entry is the sum of squares of the
-     * ith entries of the arrays that have been added using 
-     * {@link #addValue(double[])}
+     * Returns an array whose i<sup>th</sup> entry is the
+     * sum of squares of the i<sup>th</sup> entries of the arrays
+     * that correspond to each multivariate sample
      * 
      * @return the array of component sums of squares
      */
     public abstract double[] getSumSq();
     /**
-     * Returns an array whose ith entry is the sum of logs of the
-     * ith entries of the arrays that have been added using 
-     * {@link #addValue(double[])}
+     * Returns an array whose i<sup>th</sup> entry is the
+     * sum of logs of the i<sup>th</sup> entries of the arrays
+     * that correspond to each multivariate sample
      * 
      * @return the array of component log sums
      */