org.apache.commons.math.stat.descriptive (The Adobe AEM Quickstart and Web Application.)

Interface Summary
Interface	Description
StatisticalMultivariateSummary	Reporting interface for basic multivariate statistics.
StatisticalSummary	Reporting interface for basic univariate statistics.
StorelessUnivariateStatistic	Extends the definition of `UnivariateStatistic` with `StorelessUnivariateStatistic.increment(double)` and `StorelessUnivariateStatistic.incrementAll(double[])` methods for adding values and updating internal state.
UnivariateStatistic	Base interface implemented by all statistics.
WeightedEvaluation	Weighted evaluation for statistics.

Class Summary
Class	Description
AbstractStorelessUnivariateStatistic	Abstract implementation of the `StorelessUnivariateStatistic` interface.
AbstractUnivariateStatistic	Abstract base class for all implementations of the `UnivariateStatistic` interface.
AggregateSummaryStatistics	An aggregator for `SummaryStatistics` from several data sets or data set partitions.
DescriptiveStatistics	Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
MultivariateSummaryStatistics	Computes summary statistics for a stream of n-tuples added using the `addValue` method.
StatisticalSummaryValues	Value object representing the results of a univariate statistical summary.
SummaryStatistics	Computes summary statistics for a stream of data values added using the `addValue` method.
SynchronizedDescriptiveStatistics	Implementation of `DescriptiveStatistics` that is safe to use in a multithreaded environment.
SynchronizedMultivariateSummaryStatistics	Implementation of `MultivariateSummaryStatistics` that is safe to use in a multithreaded environment.
SynchronizedSummaryStatistics	Implementation of `SummaryStatistics` that is safe to use in a multithreaded environment.

Package org.apache.commons.math.stat.descriptive Description

Generic univariate summary statistic objects.

UnivariateStatistic API Usage Examples:

UnivariateStatistic:

/* evaluation approach */
 double[] values = new double[] { 1, 2,
            3, 4, 5 };
 UnivariateStatistic stat
            = new Mean();
 System.out.println("mean = " + stat.evaluate(values));

StorelessUnivariateStatistic:

/* incremental approach */
 double[] values = new double[] { 1, 2,
            3, 4, 5 };
 
            StorelessUnivariateStatistic stat = new Mean();

            System.out.println("mean before adding a value is NaN = " + stat.getResult());
 for (int i = 0;
            i < values.length; i++) {
     stat.increment(values[i]);
    
            System.out.println("current mean = " + 
            stat2.getResult());
 }
 
            stat.clear();
 System.out.println("mean after clear is NaN = "
            + stat.getResult());