Uses of Interface org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic (Apache Commons Math 3.3 API)

## 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 and Description
    --- | ---
    `class` | `AbstractStorelessUnivariateStatistic` Abstract implementation of the `StorelessUnivariateStatistic` interface.

    Methods in org.apache.commons.math3.stat.descriptive that return StorelessUnivariateStatistic
    Modifier and Type | Method and Description
    --- | ---
    `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` | SummaryStatistics.`getGeoMeanImpl()` Returns the currently configured geometric mean implementation
    `StorelessUnivariateStatistic[]` | MultivariateSummaryStatistics.`getGeoMeanImpl()` Returns the currently configured geometric mean implementation
    `StorelessUnivariateStatistic` | SynchronizedSummaryStatistics.`getGeoMeanImpl()` Returns the currently configured geometric mean implementation
    `StorelessUnivariateStatistic[]` | SynchronizedMultivariateSummaryStatistics.`getGeoMeanImpl()` Returns the currently configured geometric mean implementation
    `StorelessUnivariateStatistic` | SummaryStatistics.`getMaxImpl()` Returns the currently configured maximum implementation
    `StorelessUnivariateStatistic[]` | MultivariateSummaryStatistics.`getMaxImpl()` Returns the currently configured maximum implementation
    `StorelessUnivariateStatistic` | SynchronizedSummaryStatistics.`getMaxImpl()` Returns the currently configured maximum implementation
    `StorelessUnivariateStatistic[]` | SynchronizedMultivariateSummaryStatistics.`getMaxImpl()` Returns the currently configured maximum implementation
    `StorelessUnivariateStatistic` | SummaryStatistics.`getMeanImpl()` Returns the currently configured mean implementation
    `StorelessUnivariateStatistic[]` | MultivariateSummaryStatistics.`getMeanImpl()` Returns the currently configured mean implementation
    `StorelessUnivariateStatistic` | SynchronizedSummaryStatistics.`getMeanImpl()` Returns the currently configured mean implementation
    `StorelessUnivariateStatistic[]` | SynchronizedMultivariateSummaryStatistics.`getMeanImpl()` Returns the currently configured mean implementation
    `StorelessUnivariateStatistic` | SummaryStatistics.`getMinImpl()` Returns the currently configured minimum implementation
    `StorelessUnivariateStatistic[]` | MultivariateSummaryStatistics.`getMinImpl()` Returns the currently configured minimum implementation
    `StorelessUnivariateStatistic` | SynchronizedSummaryStatistics.`getMinImpl()` Returns the currently configured minimum implementation
    `StorelessUnivariateStatistic[]` | SynchronizedMultivariateSummaryStatistics.`getMinImpl()` Returns the currently configured minimum implementation
    `StorelessUnivariateStatistic` | SummaryStatistics.`getSumImpl()` Returns the currently configured Sum implementation
    `StorelessUnivariateStatistic[]` | MultivariateSummaryStatistics.`getSumImpl()` Returns the currently configured Sum implementation
    `StorelessUnivariateStatistic` | SynchronizedSummaryStatistics.`getSumImpl()` Returns the currently configured Sum implementation
    `StorelessUnivariateStatistic[]` | SynchronizedMultivariateSummaryStatistics.`getSumImpl()` Returns the currently configured Sum implementation
    `StorelessUnivariateStatistic` | SummaryStatistics.`getSumLogImpl()` Returns the currently configured sum of logs implementation
    `StorelessUnivariateStatistic[]` | MultivariateSummaryStatistics.`getSumLogImpl()` Returns the currently configured sum of logs implementation
    `StorelessUnivariateStatistic` | SynchronizedSummaryStatistics.`getSumLogImpl()` Returns the currently configured sum of logs implementation
    `StorelessUnivariateStatistic[]` | SynchronizedMultivariateSummaryStatistics.`getSumLogImpl()` Returns the currently configured sum of logs implementation
    `StorelessUnivariateStatistic` | SummaryStatistics.`getSumsqImpl()` Returns the currently configured sum of squares implementation
    `StorelessUnivariateStatistic[]` | MultivariateSummaryStatistics.`getSumsqImpl()` Returns the currently configured sum of squares implementation
    `StorelessUnivariateStatistic` | SynchronizedSummaryStatistics.`getSumsqImpl()` Returns the currently configured sum of squares implementation
    `StorelessUnivariateStatistic[]` | SynchronizedMultivariateSummaryStatistics.`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 and Description
    --- | ---
    `void` | SummaryStatistics.`setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)` Sets the implementation for the geometric mean.
    `void` | SynchronizedSummaryStatistics.`setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl)` Sets the implementation for the geometric mean.
    `void` | MultivariateSummaryStatistics.`setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)` Sets the implementation for the geometric mean.
    `void` | SynchronizedMultivariateSummaryStatistics.`setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl)` Sets the implementation for the geometric mean.
    `void` | SummaryStatistics.`setMaxImpl(StorelessUnivariateStatistic maxImpl)` Sets the implementation for the maximum.
    `void` | SynchronizedSummaryStatistics.`setMaxImpl(StorelessUnivariateStatistic maxImpl)` Sets the implementation for the maximum.
    `void` | MultivariateSummaryStatistics.`setMaxImpl(StorelessUnivariateStatistic[] maxImpl)` Sets the implementation for the maximum.
    `void` | SynchronizedMultivariateSummaryStatistics.`setMaxImpl(StorelessUnivariateStatistic[] maxImpl)` Sets the implementation for the maximum.
    `void` | SummaryStatistics.`setMeanImpl(StorelessUnivariateStatistic meanImpl)` Sets the implementation for the mean.
    `void` | SynchronizedSummaryStatistics.`setMeanImpl(StorelessUnivariateStatistic meanImpl)` Sets the implementation for the mean.
    `void` | MultivariateSummaryStatistics.`setMeanImpl(StorelessUnivariateStatistic[] meanImpl)` Sets the implementation for the mean.
    `void` | SynchronizedMultivariateSummaryStatistics.`setMeanImpl(StorelessUnivariateStatistic[] meanImpl)` Sets the implementation for the mean.
    `void` | SummaryStatistics.`setMinImpl(StorelessUnivariateStatistic minImpl)` Sets the implementation for the minimum.
    `void` | SynchronizedSummaryStatistics.`setMinImpl(StorelessUnivariateStatistic minImpl)` Sets the implementation for the minimum.
    `void` | MultivariateSummaryStatistics.`setMinImpl(StorelessUnivariateStatistic[] minImpl)` Sets the implementation for the minimum.
    `void` | SynchronizedMultivariateSummaryStatistics.`setMinImpl(StorelessUnivariateStatistic[] minImpl)` Sets the implementation for the minimum.
    `void` | SummaryStatistics.`setSumImpl(StorelessUnivariateStatistic sumImpl)` Sets the implementation for the Sum.
    `void` | SynchronizedSummaryStatistics.`setSumImpl(StorelessUnivariateStatistic sumImpl)` Sets the implementation for the Sum.
    `void` | MultivariateSummaryStatistics.`setSumImpl(StorelessUnivariateStatistic[] sumImpl)` Sets the implementation for the Sum.
    `void` | SynchronizedMultivariateSummaryStatistics.`setSumImpl(StorelessUnivariateStatistic[] sumImpl)` Sets the implementation for the Sum.
    `void` | SummaryStatistics.`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.`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` | SummaryStatistics.`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` | MultivariateSummaryStatistics.`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` | 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 and 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 and 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 and 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 and Description
    --- | ---
    `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
    Modifier and Type | Class and 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.

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