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

Packages that use StorelessUnivariateStatistic
Package
Description
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
Modifier and Type
Class
Description
`class`
`AbstractStorelessUnivariateStatistic`
Abstract implementation of the `StorelessUnivariateStatistic` interface.
Methods in org.apache.commons.math3.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.math3.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.math3.stat.descriptive.moment

Classes in org.apache.commons.math3.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.math3.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.math3.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.math3.stat.descriptive.rank

Classes in org.apache.commons.math3.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 invalid input: '<'ahref=http://www.cs.wustl.edu/~jain/papers/ftp/psqr.pdf>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.math3.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.math3.stat.descriptive.summary

Classes in org.apache.commons.math3.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.