Uses of Interface
org.apache.commons.statistics.descriptive.StatisticAccumulator

Packages that use StatisticAccumulator

Package	Description
org.apache.commons.statistics.descriptive	Implementations of univariate statistics.

Uses of StatisticAccumulator in org.apache.commons.statistics.descriptive

Classes in org.apache.commons.statistics.descriptive that implement StatisticAccumulator

Modifier and Type	Class	Description
class	GeometricMean	Computes the geometric mean of the available values.
class	IntMax	Returns the maximum of the available values.
class	IntMean	Computes the arithmetic mean of the available values.
class	IntMin	Returns the minimum of the available values.
class	IntStandardDeviation	Computes the standard deviation of the available values.
class	IntSum	Returns the sum of the available values.
class	IntSumOfSquares	Returns the sum of the squares of the available values.
class	IntVariance	Computes the variance of the available values.
class	Kurtosis	Computes the kurtosis of the available values.
class	LongMax	Returns the maximum of the available values.
class	LongMean	Computes the arithmetic mean of the available values.
class	LongMin	Returns the minimum of the available values.
class	LongStandardDeviation	Computes the standard deviation of the available values.
class	LongSum	Returns the sum of the available values.
class	LongSumOfSquares	Returns the sum of the squares of the available values.
class	LongVariance	Computes the variance of the available values.
class	Max	Returns the maximum of the available values.
class	Mean	Computes the arithmetic mean of the available values.
class	Min	Returns the minimum of the available values.
class	Product	Returns the product of the available values.
class	Skewness	Computes the skewness of the available values.
class	StandardDeviation	Computes the standard deviation of the available values.
class	Sum	Returns the sum of the available values.
class	SumOfLogs	Returns the sum of the natural logarithm of available values.
class	SumOfSquares	Returns the sum of the squares of the available values.
class	Variance	Computes the variance of the available values.