Uses of Interface
org.apache.commons.math4.legacy.stat.descriptive.StorelessUnivariateStatistic

Packages that use StorelessUnivariateStatistic

Package	Description
org.apache.commons.math4.legacy.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math4.legacy.stat.descriptive.moment	Summary statistics based on moments.
org.apache.commons.math4.legacy.stat.descriptive.rank	Summary statistics based on ranks.
org.apache.commons.math4.legacy.stat.descriptive.summary	Other summary statistics.

Uses of StorelessUnivariateStatistic in org.apache.commons.math4.legacy.stat.descriptive

Classes in org.apache.commons.math4.legacy.stat.descriptive that implement StorelessUnivariateStatistic

Modifier and Type	Class	Description
class	AbstractStorelessUnivariateStatistic	Abstract base class for implementations of the StorelessUnivariateStatistic interface.

Methods in org.apache.commons.math4.legacy.stat.descriptive that return StorelessUnivariateStatistic

Modifier and Type	Method	Description
abstract StorelessUnivariateStatistic	AbstractStorelessUnivariateStatistic.copy()	Returns a copy of the statistic with the same internal state.
StorelessUnivariateStatistic	StorelessUnivariateStatistic.copy()	Returns a copy of the statistic with the same internal state.
StorelessUnivariateStatistic[]	MultivariateSummaryStatistics.getGeoMeanImpl()	Returns the currently configured geometric mean implementation.
StorelessUnivariateStatistic	SummaryStatistics.getGeoMeanImpl()	Returns the currently configured geometric mean implementation.
StorelessUnivariateStatistic[]	SynchronizedMultivariateSummaryStatistics.getGeoMeanImpl()	Returns the currently configured geometric mean implementation.
StorelessUnivariateStatistic	SynchronizedSummaryStatistics.getGeoMeanImpl()	Returns the currently configured geometric mean implementation.
StorelessUnivariateStatistic[]	MultivariateSummaryStatistics.getMaxImpl()	Returns the currently configured maximum implementation.
StorelessUnivariateStatistic	SummaryStatistics.getMaxImpl()	Returns the currently configured maximum implementation.
StorelessUnivariateStatistic[]	SynchronizedMultivariateSummaryStatistics.getMaxImpl()	Returns the currently configured maximum implementation.
StorelessUnivariateStatistic	SynchronizedSummaryStatistics.getMaxImpl()	Returns the currently configured maximum implementation.
StorelessUnivariateStatistic[]	MultivariateSummaryStatistics.getMeanImpl()	Returns the currently configured mean implementation.
StorelessUnivariateStatistic	SummaryStatistics.getMeanImpl()	Returns the currently configured mean implementation.
StorelessUnivariateStatistic[]	SynchronizedMultivariateSummaryStatistics.getMeanImpl()	Returns the currently configured mean implementation.
StorelessUnivariateStatistic	SynchronizedSummaryStatistics.getMeanImpl()	Returns the currently configured mean implementation.
StorelessUnivariateStatistic[]	MultivariateSummaryStatistics.getMinImpl()	Returns the currently configured minimum implementation.
StorelessUnivariateStatistic	SummaryStatistics.getMinImpl()	Returns the currently configured minimum implementation.
StorelessUnivariateStatistic[]	SynchronizedMultivariateSummaryStatistics.getMinImpl()	Returns the currently configured minimum implementation.
StorelessUnivariateStatistic	SynchronizedSummaryStatistics.getMinImpl()	Returns the currently configured minimum implementation.
StorelessUnivariateStatistic[]	MultivariateSummaryStatistics.getSumImpl()	Returns the currently configured Sum implementation.
StorelessUnivariateStatistic	SummaryStatistics.getSumImpl()	Returns the currently configured Sum implementation.
StorelessUnivariateStatistic[]	SynchronizedMultivariateSummaryStatistics.getSumImpl()	Returns the currently configured Sum implementation.
StorelessUnivariateStatistic	SynchronizedSummaryStatistics.getSumImpl()	Returns the currently configured Sum implementation.
StorelessUnivariateStatistic[]	MultivariateSummaryStatistics.getSumLogImpl()	Returns the currently configured sum of logs implementation.
StorelessUnivariateStatistic	SummaryStatistics.getSumLogImpl()	Returns the currently configured sum of logs implementation.
StorelessUnivariateStatistic[]	SynchronizedMultivariateSummaryStatistics.getSumLogImpl()	Returns the currently configured sum of logs implementation.
StorelessUnivariateStatistic	SynchronizedSummaryStatistics.getSumLogImpl()	Returns the currently configured sum of logs implementation.
StorelessUnivariateStatistic[]	MultivariateSummaryStatistics.getSumsqImpl()	Returns the currently configured sum of squares implementation.
StorelessUnivariateStatistic	SummaryStatistics.getSumsqImpl()	Returns the currently configured sum of squares implementation.
StorelessUnivariateStatistic[]	SynchronizedMultivariateSummaryStatistics.getSumsqImpl()	Returns the currently configured sum of squares implementation.
StorelessUnivariateStatistic	SynchronizedSummaryStatistics.getSumsqImpl()	Returns the currently configured sum of squares implementation.
StorelessUnivariateStatistic	SummaryStatistics.getVarianceImpl()	Returns the currently configured variance implementation.
StorelessUnivariateStatistic	SynchronizedSummaryStatistics.getVarianceImpl()	Returns the currently configured variance implementation.

Methods in org.apache.commons.math4.legacy.stat.descriptive with parameters of type StorelessUnivariateStatistic

Modifier and Type	Method	Description
void	MultivariateSummaryStatistics.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	SynchronizedSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)	Sets the implementation for the geometric mean.
void	MultivariateSummaryStatistics.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	SynchronizedSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl)	Sets the implementation for the maximum.
void	MultivariateSummaryStatistics.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	SynchronizedSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl)	Sets the implementation for the mean.
void	MultivariateSummaryStatistics.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	SynchronizedSummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl)	Sets the implementation for the minimum.
void	MultivariateSummaryStatistics.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	SynchronizedSummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl)	Sets the implementation for the Sum.
void	MultivariateSummaryStatistics.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	SynchronizedSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)	Sets the implementation for the sum of logs.
void	MultivariateSummaryStatistics.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	SynchronizedSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl)	Sets the implementation for the sum of squares.
void	SummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)	Sets the implementation for the variance.
void	SynchronizedSummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl)	Sets the implementation for the variance.

Uses of StorelessUnivariateStatistic in org.apache.commons.math4.legacy.stat.descriptive.moment

Classes in org.apache.commons.math4.legacy.stat.descriptive.moment that implement StorelessUnivariateStatistic

Modifier and Type	Class	Description
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.math4.legacy.stat.descriptive.moment that return StorelessUnivariateStatistic

Modifier and Type	Method	Description
StorelessUnivariateStatistic	GeometricMean.getSumLogImpl()	Returns the currently configured sum of logs implementation.

Methods in org.apache.commons.math4.legacy.stat.descriptive.moment with parameters of type StorelessUnivariateStatistic

Modifier and Type	Method	Description
void	GeometricMean.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl)	Sets the implementation for the sum of logs.

Uses of StorelessUnivariateStatistic in org.apache.commons.math4.legacy.stat.descriptive.rank

Classes in org.apache.commons.math4.legacy.stat.descriptive.rank that implement StorelessUnivariateStatistic

Modifier and Type	Class	Description
class	Max	Returns the maximum of the available values.
class	Min	Returns the minimum of the available values.
class	PSquarePercentile	A StorelessUnivariateStatistic estimating percentiles using the P2 Algorithm as explained by Raj Jain and Imrich Chlamtac in P2 Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations.

Methods in org.apache.commons.math4.legacy.stat.descriptive.rank that return StorelessUnivariateStatistic

Modifier and Type	Method	Description
StorelessUnivariateStatistic	PSquarePercentile.copy()	Returns a copy of the statistic with the same internal state.

Uses of StorelessUnivariateStatistic in org.apache.commons.math4.legacy.stat.descriptive.summary

Classes in org.apache.commons.math4.legacy.stat.descriptive.summary that implement StorelessUnivariateStatistic

Modifier and Type	Class	Description
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.