Fix redundant Javadoc phrasing

Author: garydgregory

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/correlation/Covariance.java

@@ -227,7 +227,7 @@ protected RealMatrix computeCovarianceMatrix(double[][] data)
      * @param xArray first data array
      * @param yArray second data array
      * @param biasCorrected if true, returned value will be bias-corrected
-     * @return returns the covariance for the two arrays
+     * @return the covariance for the two arrays
      * @throws  MathIllegalArgumentException if the arrays lengths do not match or
      * there is insufficient data
      */
@@ -262,7 +262,7 @@ public double covariance(final double[] xArray, final double[] yArray, boolean b
      *
      * @param xArray first data array
      * @param yArray second data array
-     * @return returns the covariance for the two arrays
+     * @return the covariance for the two arrays
      * @throws  MathIllegalArgumentException if the arrays lengths do not match or
      * there is insufficient data
      */

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/correlation/KendallsCorrelation.java

@@ -148,7 +148,7 @@ public RealMatrix computeCorrelationMatrix(final double[][] matrix) {
      *
      * @param xArray first data array
      * @param yArray second data array
-     * @return Returns Kendall's Tau rank correlation coefficient for the two arrays
+     * @return Kendall's Tau rank correlation coefficient for the two arrays
      * @throws DimensionMismatchException if the arrays lengths do not match
      */
     public double correlation(final double[] xArray, final double[] yArray)

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/correlation/PearsonsCorrelation.java

@@ -266,7 +266,7 @@ public RealMatrix computeCorrelationMatrix(double[][] data) {
      *
      * @param xArray first data array
      * @param yArray second data array
-     * @return Returns Pearson's correlation coefficient for the two arrays
+     * @return Pearson's correlation coefficient for the two arrays
      * @throws DimensionMismatchException if the arrays lengths do not match
      * @throws MathIllegalArgumentException if there is insufficient data
      */

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/correlation/SpearmansCorrelation.java

@@ -168,7 +168,7 @@ public RealMatrix computeCorrelationMatrix(final double[][] matrix) {
      *
      * @param xArray first data array
      * @param yArray second data array
-     * @return Returns Spearman's rank correlation coefficient for the two arrays
+     * @return Spearman's rank correlation coefficient for the two arrays
      * @throws DimensionMismatchException if the arrays lengths do not match
      * @throws MathIllegalArgumentException if the array length is less than 2
      */

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/DescriptiveStatistics.java

@@ -407,7 +407,7 @@ public void setWindowSize(int windowSize) throws MathIllegalArgumentException {
      * copy of the underlying data -- i.e., it is not a reference to the
      * stored data.
      *
-     * @return returns the current set of numbers in the order in which they
+     * @return the current set of numbers in the order in which they
      *         were added to this set
      */
     public double[] getValues() {
@@ -419,7 +419,7 @@ public double[] getValues() {
      * sorted in ascending order.  The returned array is a fresh
      * copy of the underlying data -- i.e., it is not a reference to the
      * stored data.
-     * @return returns the current set of
+     * @return the current set of
      * numbers sorted in ascending order
      */
     public double[] getSortedValues() {

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/StatisticalSummaryValues.java

@@ -65,55 +65,55 @@ public StatisticalSummaryValues(double mean, double variance, long n,
     }
 
     /**
-     * @return Returns the max.
+     * @return the max.
      */
     @Override
     public double getMax() {
         return max;
     }
 
     /**
-     * @return Returns the mean.
+     * @return the mean.
      */
     @Override
     public double getMean() {
         return mean;
     }
 
     /**
-     * @return Returns the min.
+     * @return the min.
      */
     @Override
     public double getMin() {
         return min;
     }
 
     /**
-     * @return Returns the number of values.
+     * @return the number of values.
      */
     @Override
     public long getN() {
         return n;
     }
 
     /**
-     * @return Returns the sum.
+     * @return the sum.
      */
     @Override
     public double getSum() {
         return sum;
     }
 
     /**
-     * @return Returns the standard deviation
+     * @return the standard deviation
      */
     @Override
     public double getStandardDeviation() {
         return JdkMath.sqrt(variance);
     }
 
     /**
-     * @return Returns the variance.
+     * @return the variance.
      */
     @Override
     public double getVariance() {

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/moment/StandardDeviation.java

@@ -228,7 +228,7 @@ public double evaluate(final double[] values, final double mean)
     }
 
     /**
-     * @return Returns the isBiasCorrected.
+     * @return the isBiasCorrected.
      */
     public boolean isBiasCorrected() {
         return variance.isBiasCorrected();

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/descriptive/moment/Variance.java

@@ -585,7 +585,7 @@ public double evaluate(final double[] values, final double[] weights, final doub
     }
 
     /**
-     * @return Returns the isBiasCorrected.
+     * @return the isBiasCorrected.
      */
     public boolean isBiasCorrected() {
         return isBiasCorrected;

commons-math-legacy/src/main/java/org/apache/commons/math4/legacy/stat/ranking/NaturalRanking.java

@@ -166,7 +166,7 @@ private NaturalRanking(NaNStrategy nanStrategy,
     /**
      * Return the NaNStrategy.
      *
-     * @return returns the NaNStrategy
+     * @return the NaNStrategy
      */
     public NaNStrategy getNanStrategy() {
         return nanStrategy;

commons-math-legacy/src/test/java/org/apache/commons/math4/legacy/distribution/IntegerDistributionAbstractTest.java

@@ -312,7 +312,7 @@ public void testSampling() {
 
     //------------------ Getters / Setters for test instance data -----------
     /**
-     * @return Returns the cumulativeTestPoints.
+     * @return the cumulativeTestPoints.
      */
     protected int[] getCumulativeTestPoints() {
         return cumulativeTestPoints;
@@ -326,7 +326,7 @@ protected void setCumulativeTestPoints(int[] cumulativeTestPoints) {
     }
 
     /**
-     * @return Returns the cumulativeTestValues.
+     * @return the cumulativeTestValues.
      */
     protected double[] getCumulativeTestValues() {
         return cumulativeTestValues;
@@ -340,7 +340,7 @@ protected void setCumulativeTestValues(double[] cumulativeTestValues) {
     }
 
     /**
-     * @return Returns the densityTestPoints.
+     * @return the densityTestPoints.
      */
     protected int[] getDensityTestPoints() {
         return densityTestPoints;
@@ -354,7 +354,7 @@ protected void setDensityTestPoints(int[] densityTestPoints) {
     }
 
     /**
-     * @return Returns the densityTestValues.
+     * @return the densityTestValues.
      */
     protected double[] getDensityTestValues() {
         return densityTestValues;
@@ -368,7 +368,7 @@ protected void setDensityTestValues(double[] densityTestValues) {
     }
 
     /**
-     * @return Returns the distribution.
+     * @return the distribution.
      */
     protected DiscreteDistribution getDistribution() {
         return distribution;
@@ -382,7 +382,7 @@ protected void setDistribution(DiscreteDistribution distribution) {
     }
 
     /**
-     * @return Returns the inverseCumulativeTestPoints.
+     * @return the inverseCumulativeTestPoints.
      */
     protected double[] getInverseCumulativeTestPoints() {
         return inverseCumulativeTestPoints;
@@ -396,7 +396,7 @@ protected void setInverseCumulativeTestPoints(double[] inverseCumulativeTestPoin
     }
 
     /**
-     * @return Returns the inverseCumulativeTestValues.
+     * @return the inverseCumulativeTestValues.
      */
     protected int[] getInverseCumulativeTestValues() {
         return inverseCumulativeTestValues;
@@ -410,7 +410,7 @@ protected void setInverseCumulativeTestValues(int[] inverseCumulativeTestValues)
     }
 
     /**
-     * @return Returns the tolerance.
+     * @return the tolerance.
      */
     protected double getTolerance() {
         return tolerance;