Package org.apache.commons.statistics.descriptive

package org.apache.commons.statistics.descriptive

Implementations of univariate statistics.

Since:

1.1

Class	Description
BigIntegerStatisticResult	Represents the BigInteger result of a statistic computed over a set of values.
DoubleStatistic	Represents a state object for computing a statistic over double valued input(s).
DoubleStatistics	Statistics for double values.
DoubleStatistics.Builder	A builder for DoubleStatistics.
FirstMoment	Computes the first moment (arithmetic mean) using the definitional formula:
GeometricMean	Computes the geometric mean of the available values.
Int128	A mutable 128-bit signed integer.
Interpolation	Support class for interpolation.
IntMath	Support class for integer math.
IntMax	Returns the maximum of the available values.
IntMean	Computes the arithmetic mean of the available values.
IntMin	Returns the minimum of the available values.
IntStandardDeviation	Computes the standard deviation of the available values.
IntStatistic	Represents a state object for computing a statistic over int valued input(s).
IntStatisticResult	Represents the int result of a statistic computed over a set of values.
IntStatistics	Statistics for int values.
IntStatistics.Builder	A builder for IntStatistics.
IntSum	Returns the sum of the available values.
IntSumOfSquares	Returns the sum of the squares of the available values.
IntVariance	Computes the variance of the available values.
Kurtosis	Computes the kurtosis of the available values.
LongMax	Returns the maximum of the available values.
LongMean	Computes the arithmetic mean of the available values.
LongMin	Returns the minimum of the available values.
LongStandardDeviation	Computes the standard deviation of the available values.
LongStatistic	Represents a state object for computing a statistic over long valued input(s).
LongStatisticResult	Represents the long result of a statistic computed over a set of values.
LongStatistics	Statistics for long values.
LongStatistics.Builder	A builder for LongStatistics.
LongSum	Returns the sum of the available values.
LongSumOfSquares	Returns the sum of the squares of the available values.
LongVariance	Computes the variance of the available values.
Max	Returns the maximum of the available values.
Mean	Computes the arithmetic mean of the available values.
Median	Returns the median of the available values.
Min	Returns the minimum of the available values.
NaNPolicy	Defines the policy for NaN values found in data.
NaNTransformer	Defines a transformer for NaN values in arrays.
NaNTransformers	Support for creating NaNTransformer implementations.
NaNTransformers.ErrorNaNTransformer	A transformer that errors on NaN.
NaNTransformers.ExcludeNaNTransformer	A transformer that moves NaN to the upper end of the array.
NaNTransformers.IncludeNaNTransformer	A NaN transformer that optionally copies the data.
Product	Returns the product of the available values.
Quantile	Provides quantile computation.
Quantile.EstimationMethod	Estimation methods for a quantile.
RangeBiFunction<T,U,R>	Represents a function that accepts two objects and a range and produces a result.
RangeFunction<T,R>	Represents a function that accepts an object and a range and produces a result.
Skewness	Computes the skewness of the available values.
StandardDeviation	Computes the standard deviation of the available values.
Statistic	A statistic that can be computed on univariate data, for example a stream of double values.
StatisticAccumulator<T extends StatisticResult>	A mutable result container that accumulates a StatisticResult.
StatisticResult	Represents the result of a statistic computed over a set of values.
Statistics	Utility methods for statistics.
StatisticsConfiguration	Configuration for computation of statistics.
Sum	Returns the sum of the available values.
SumOfCubedDeviations	Computes the sum of cubed deviations from the sample mean.
SumOfFourthDeviations	Computes the sum of fourth deviations from the sample mean.
SumOfLogs	Returns the sum of the natural logarithm of available values.
SumOfSquaredDeviations	Computes the sum of squared deviations from the sample mean.
SumOfSquares	Returns the sum of the squares of the available values.
UInt128	A mutable 128-bit unsigned integer.
UInt192	A mutable 192-bit unsigned integer.
UInt96	A mutable 96-bit unsigned integer.
Variance	Computes the variance of the available values.