Uses of Interface
org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic

Packages that use StorelessUnivariateStatistic
org.apache.commons.math3.stat.descriptive Generic univariate summary statistic objects. 
org.apache.commons.math3.stat.descriptive.moment Summary statistics based on moments. 
org.apache.commons.math3.stat.descriptive.rank Summary statistics based on ranks. 
org.apache.commons.math3.stat.descriptive.summary Other summary statistics. 
 

Uses of StorelessUnivariateStatistic in org.apache.commons.math3.stat.descriptive
 

Classes in org.apache.commons.math3.stat.descriptive that implement StorelessUnivariateStatistic
 class AbstractStorelessUnivariateStatistic
          Abstract implementation of the StorelessUnivariateStatistic interface.
 

Methods in org.apache.commons.math3.stat.descriptive that return StorelessUnivariateStatistic
 StorelessUnivariateStatistic StorelessUnivariateStatistic.copy()
          Returns a copy of the statistic with the same internal state.
abstract  StorelessUnivariateStatistic AbstractStorelessUnivariateStatistic.copy()
          Returns a copy of the statistic with the same internal state.
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getGeoMeanImpl()
          Returns the currently configured geometric mean implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getGeoMeanImpl()
          Returns the currently configured geometric mean implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getGeoMeanImpl()
          Returns the currently configured geometric mean implementation
 StorelessUnivariateStatistic SummaryStatistics.getGeoMeanImpl()
          Returns the currently configured geometric mean implementation
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getMaxImpl()
          Returns the currently configured maximum implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getMaxImpl()
          Returns the currently configured maximum implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getMaxImpl()
          Returns the currently configured maximum implementation
 StorelessUnivariateStatistic SummaryStatistics.getMaxImpl()
          Returns the currently configured maximum implementation
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getMeanImpl()
          Returns the currently configured mean implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getMeanImpl()
          Returns the currently configured mean implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getMeanImpl()
          Returns the currently configured mean implementation
 StorelessUnivariateStatistic SummaryStatistics.getMeanImpl()
          Returns the currently configured mean implementation
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getMinImpl()
          Returns the currently configured minimum implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getMinImpl()
          Returns the currently configured minimum implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getMinImpl()
          Returns the currently configured minimum implementation
 StorelessUnivariateStatistic SummaryStatistics.getMinImpl()
          Returns the currently configured minimum implementation
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getSumImpl()
          Returns the currently configured Sum implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getSumImpl()
          Returns the currently configured Sum implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getSumImpl()
          Returns the currently configured Sum implementation
 StorelessUnivariateStatistic SummaryStatistics.getSumImpl()
          Returns the currently configured Sum implementation
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getSumLogImpl()
          Returns the currently configured sum of logs implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getSumLogImpl()
          Returns the currently configured sum of logs implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getSumLogImpl()
          Returns the currently configured sum of logs implementation
 StorelessUnivariateStatistic SummaryStatistics.getSumLogImpl()
          Returns the currently configured sum of logs implementation
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getSumsqImpl()
          Returns the currently configured sum of squares implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getSumsqImpl()
          Returns the currently configured sum of squares implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getSumsqImpl()
          Returns the currently configured sum of squares implementation
 StorelessUnivariateStatistic SummaryStatistics.getSumsqImpl()
          Returns the currently configured sum of squares implementation
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getVarianceImpl()
          Returns the currently configured variance implementation
 StorelessUnivariateStatistic SummaryStatistics.getVarianceImpl()
          Returns the currently configured variance implementation
 

Methods in org.apache.commons.math3.stat.descriptive with parameters of type StorelessUnivariateStatistic
 void SynchronizedSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)
           Sets the implementation for the geometric mean.
 void SummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)
           Sets the implementation for the geometric mean.
 void SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
          Sets the implementation for the geometric mean.
 void MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
          Sets the implementation for the geometric mean.
 void SynchronizedSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)
           Sets the implementation for the maximum.
 void SummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)
           Sets the implementation for the maximum.
 void SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
          Sets the implementation for the maximum.
 void MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
          Sets the implementation for the maximum.
 void SynchronizedSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)
           Sets the implementation for the mean.
 void SummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)
           Sets the implementation for the mean.
 void SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
          Sets the implementation for the mean.
 void MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
          Sets the implementation for the mean.
 void SynchronizedSummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)
           Sets the implementation for the minimum.
 void SummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)
           Sets the implementation for the minimum.
 void SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
          Sets the implementation for the minimum.
 void MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
          Sets the implementation for the minimum.
 void SynchronizedSummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)
           Sets the implementation for the Sum.
 void SummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)
           Sets the implementation for the Sum.
 void SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
          Sets the implementation for the Sum.
 void MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
          Sets the implementation for the Sum.
 void SynchronizedSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
           Sets the implementation for the sum of logs.
 void SummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
           Sets the implementation for the sum of logs.
 void SynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
          Sets the implementation for the sum of logs.
 void MultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
          Sets the implementation for the sum of logs.
 void SynchronizedSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)
           Sets the implementation for the sum of squares.
 void SummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)
           Sets the implementation for the sum of squares.
 void SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
          Sets the implementation for the sum of squares.
 void MultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
          Sets the implementation for the sum of squares.
 void SynchronizedSummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)
           Sets the implementation for the variance.
 void SummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)
           Sets the implementation for the variance.
 

Uses of StorelessUnivariateStatistic in org.apache.commons.math3.stat.descriptive.moment
 

Classes in org.apache.commons.math3.stat.descriptive.moment that implement StorelessUnivariateStatistic
 class GeometricMean
          Returns the geometric mean of the available values.
 class Kurtosis
          Computes the Kurtosis of the available values.
 class Mean
          Computes the arithmetic mean of a set of values.
 class SecondMoment
          Computes a statistic related to the Second Central Moment.
 class Skewness
          Computes the skewness of the available values.
 class StandardDeviation
          Computes the sample standard deviation.
 class Variance
          Computes the variance of the available values.
 

Methods in org.apache.commons.math3.stat.descriptive.moment that return StorelessUnivariateStatistic
 StorelessUnivariateStatistic GeometricMean.getSumLogImpl()
          Returns the currently configured sum of logs implementation
 

Methods in org.apache.commons.math3.stat.descriptive.moment with parameters of type StorelessUnivariateStatistic
 void GeometricMean.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
          Sets the implementation for the sum of logs.
 

Uses of StorelessUnivariateStatistic in org.apache.commons.math3.stat.descriptive.rank
 

Classes in org.apache.commons.math3.stat.descriptive.rank that implement StorelessUnivariateStatistic
 class Max
          Returns the maximum of the available values.
 class Min
          Returns the minimum of the available values.
 

Uses of StorelessUnivariateStatistic in org.apache.commons.math3.stat.descriptive.summary
 

Classes in org.apache.commons.math3.stat.descriptive.summary that implement StorelessUnivariateStatistic
 class Product
          Returns the product of the available values.
 class Sum
          Returns the sum of the available values.
 class SumOfLogs
          Returns the sum of the natural logs for this collection of values.
 class SumOfSquares
          Returns the sum of the squares of the available values.
 



Copyright © 2003-2013 The Apache Software Foundation. All Rights Reserved.