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

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

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

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

Fields in org.apache.commons.math.stat.descriptive declared as StorelessUnivariateStatistic
private  StorelessUnivariateStatistic SummaryStatistics.geoMeanImpl
          Geometric mean statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic[] MultivariateSummaryStatistics.geoMeanImpl
          Geometric mean statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic SummaryStatistics.maxImpl
          Maximum statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic[] MultivariateSummaryStatistics.maxImpl
          Maximum statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic SummaryStatistics.meanImpl
          Mean statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic[] MultivariateSummaryStatistics.meanImpl
          Mean statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic SummaryStatistics.minImpl
          Minimum statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic[] MultivariateSummaryStatistics.minImpl
          Minimum statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic SummaryStatistics.sumImpl
          Sum statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic[] MultivariateSummaryStatistics.sumImpl
          Sum statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic SummaryStatistics.sumLogImpl
          Sum of log statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic[] MultivariateSummaryStatistics.sumLogImpl
          Sum of log statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic SummaryStatistics.sumsqImpl
          Sum of squares statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic[] MultivariateSummaryStatistics.sumSqImpl
          Sum of squares statistic implementation - can be reset by setter.
private  StorelessUnivariateStatistic SummaryStatistics.varianceImpl
          Variance statistic implementation - can be reset by setter.
 

Methods in org.apache.commons.math.stat.descriptive that return StorelessUnivariateStatistic
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getGeoMeanImpl()
           
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getGeoMeanImpl()
           
 StorelessUnivariateStatistic SummaryStatistics.getGeoMeanImpl()
          Returns the currently configured geometric mean implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getGeoMeanImpl()
          Returns the currently configured geometric mean implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getMaxImpl()
           
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getMaxImpl()
           
 StorelessUnivariateStatistic SummaryStatistics.getMaxImpl()
          Returns the currently configured maximum implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getMaxImpl()
          Returns the currently configured maximum implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getMeanImpl()
           
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getMeanImpl()
           
 StorelessUnivariateStatistic SummaryStatistics.getMeanImpl()
          Returns the currently configured mean implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getMeanImpl()
          Returns the currently configured mean implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getMinImpl()
           
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getMinImpl()
           
 StorelessUnivariateStatistic SummaryStatistics.getMinImpl()
          Returns the currently configured minimum implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getMinImpl()
          Returns the currently configured minimum implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getSumImpl()
           
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getSumImpl()
           
 StorelessUnivariateStatistic SummaryStatistics.getSumImpl()
          Returns the currently configured Sum implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getSumImpl()
          Returns the currently configured Sum implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getSumLogImpl()
           
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getSumLogImpl()
           
 StorelessUnivariateStatistic SummaryStatistics.getSumLogImpl()
          Returns the currently configured sum of logs implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getSumLogImpl()
          Returns the currently configured sum of logs implementation
 StorelessUnivariateStatistic[] SynchronizedMultivariateSummaryStatistics.getSumsqImpl()
           
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getSumsqImpl()
           
 StorelessUnivariateStatistic SummaryStatistics.getSumsqImpl()
          Returns the currently configured sum of squares implementation
 StorelessUnivariateStatistic[] MultivariateSummaryStatistics.getSumsqImpl()
          Returns the currently configured sum of squares implementation
 StorelessUnivariateStatistic SynchronizedSummaryStatistics.getVarianceImpl()
           
 StorelessUnivariateStatistic SummaryStatistics.getVarianceImpl()
          Returns the currently configured variance implementation
 

Methods in org.apache.commons.math.stat.descriptive with parameters of type StorelessUnivariateStatistic
private  double[] MultivariateSummaryStatistics.getResults(StorelessUnivariateStatistic[] stats)
          Returns an array of the results of a statistic.
 void SynchronizedSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)
           
 void SummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)
          Sets the implementation for the geometric mean.
 void SynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
           
 void MultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)
          Sets the implementation for the geometric mean.
private  void MultivariateSummaryStatistics.setImpl(StorelessUnivariateStatistic[] newImpl, StorelessUnivariateStatistic[] oldImpl)
          Sets statistics implementations.
private  void MultivariateSummaryStatistics.setImpl(StorelessUnivariateStatistic[] newImpl, StorelessUnivariateStatistic[] oldImpl)
          Sets statistics implementations.
 void SynchronizedSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)
           
 void SummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)
          Sets the implementation for the maximum.
 void SynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
           
 void MultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl)
          Sets the implementation for the maximum.
 void SynchronizedSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)
           
 void SummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)
          Sets the implementation for the mean.
 void SynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
           
 void MultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl)
          Sets the implementation for the mean.
 void SynchronizedSummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)
           
 void SummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)
          Sets the implementation for the minimum.
 void SynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
           
 void MultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl)
          Sets the implementation for the minimum.
 void SynchronizedSummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)
           
 void SummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)
          Sets the implementation for the Sum.
 void SynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
           
 void MultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl)
          Sets the implementation for the Sum.
 void SynchronizedSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
           
 void SummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)
          Sets the implementation for the sum of logs.
 void SynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
           
 void MultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl)
          Sets the implementation for the sum of logs.
 void SynchronizedSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)
           
 void SummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)
          Sets the implementation for the sum of squares.
 void SynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
           
 void MultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl)
          Sets the implementation for the sum of squares.
 void SynchronizedSummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)
           
 void SummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)
          Sets the implementation for the variance.
 

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

Classes in org.apache.commons.math.stat.descriptive.moment that implement StorelessUnivariateStatistic
 class FirstMoment
          Computes the first moment (arithmetic mean).
 class FourthMoment
          Computes a statistic related to the Fourth Central Moment.
 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 ThirdMoment
          Computes a statistic related to the Third Central Moment.
 class Variance
          Computes the variance of the available values.
 

Fields in org.apache.commons.math.stat.descriptive.moment declared as StorelessUnivariateStatistic
private  StorelessUnivariateStatistic GeometricMean.sumOfLogs
          Wrapped SumOfLogs instance
 

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

Methods in org.apache.commons.math.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.math.stat.descriptive.rank
 

Classes in org.apache.commons.math.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.math.stat.descriptive.summary
 

Classes in org.apache.commons.math.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.