Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

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

Packages that use UnivariateStatistic
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 UnivariateStatistic in org.apache.commons.math3.stat.descriptive

Subinterfaces of UnivariateStatistic in org.apache.commons.math3.stat.descriptive
`interface` | `StorelessUnivariateStatistic` Extends the definition of `UnivariateStatistic` with `StorelessUnivariateStatistic.increment(double)` and `StorelessUnivariateStatistic.incrementAll(double[])` methods for adding values and updating internal state.

Classes in org.apache.commons.math3.stat.descriptive that implement UnivariateStatistic
`class` | `AbstractStorelessUnivariateStatistic` Abstract implementation of the `StorelessUnivariateStatistic` interface.
`class` | `AbstractUnivariateStatistic` Abstract base class for all implementations of the `UnivariateStatistic` interface.

Methods in org.apache.commons.math3.stat.descriptive that return UnivariateStatistic
`abstract UnivariateStatistic` | `AbstractUnivariateStatistic.copy()` Returns a copy of the statistic with the same internal state.
`UnivariateStatistic` | `UnivariateStatistic.copy()` Returns a copy of the statistic with the same internal state.
`UnivariateStatistic` | `DescriptiveStatistics.getGeometricMeanImpl()` Returns the currently configured geometric mean implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getKurtosisImpl()` Returns the currently configured kurtosis implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getMaxImpl()` Returns the currently configured maximum implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getMeanImpl()` Returns the currently configured mean implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getMinImpl()` Returns the currently configured minimum implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getPercentileImpl()` Returns the currently configured percentile implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getSkewnessImpl()` Returns the currently configured skewness implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getSumImpl()` Returns the currently configured sum implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getSumsqImpl()` Returns the currently configured sum of squares implementation.
`UnivariateStatistic` | `DescriptiveStatistics.getVarianceImpl()` Returns the currently configured variance implementation.

Methods in org.apache.commons.math3.stat.descriptive with parameters of type UnivariateStatistic
`double` | `SynchronizedDescriptiveStatistics.apply(UnivariateStatistic stat)` Apply the given statistic to the data associated with this set of statistics.
`double` | `DescriptiveStatistics.apply(UnivariateStatistic stat)` Apply the given statistic to the data associated with this set of statistics.
`void` | `DescriptiveStatistics.setGeometricMeanImpl(UnivariateStatistic geometricMeanImpl)` Sets the implementation for the gemoetric mean.
`void` | `DescriptiveStatistics.setKurtosisImpl(UnivariateStatistic kurtosisImpl)` Sets the implementation for the kurtosis.
`void` | `DescriptiveStatistics.setMaxImpl(UnivariateStatistic maxImpl)` Sets the implementation for the maximum.
`void` | `DescriptiveStatistics.setMeanImpl(UnivariateStatistic meanImpl)` Sets the implementation for the mean.
`void` | `DescriptiveStatistics.setMinImpl(UnivariateStatistic minImpl)` Sets the implementation for the minimum.
`void` | `DescriptiveStatistics.setPercentileImpl(UnivariateStatistic percentileImpl)` Sets the implementation to be used by `DescriptiveStatistics.getPercentile(double)`.
`void` | `DescriptiveStatistics.setSkewnessImpl(UnivariateStatistic skewnessImpl)` Sets the implementation for the skewness.
`void` | `DescriptiveStatistics.setSumImpl(UnivariateStatistic sumImpl)` Sets the implementation for the sum.
`void` | `DescriptiveStatistics.setSumsqImpl(UnivariateStatistic sumsqImpl)` Sets the implementation for the sum of squares.
`void` | `DescriptiveStatistics.setVarianceImpl(UnivariateStatistic varianceImpl)` Sets the implementation for the variance.

Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive.moment

Classes in org.apache.commons.math3.stat.descriptive.moment that implement UnivariateStatistic
`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` | `SemiVariance` Computes the semivariance of a set of values with respect to a given cutoff value.
`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.

Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive.rank

Classes in org.apache.commons.math3.stat.descriptive.rank that implement UnivariateStatistic
`class` | `Max` Returns the maximum of the available values.
`class` | `Median` Returns the median of the available values.
`class` | `Min` Returns the minimum of the available values.
`class` | `Percentile` Provides percentile computation.

Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive.summary

Classes in org.apache.commons.math3.stat.descriptive.summary that implement UnivariateStatistic
`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.

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
PREV NEXT | FRAMES NO FRAMES

Copyright © 2003-2013 The Apache Software Foundation. All Rights Reserved.