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

Packages that use StatisticResult

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

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

Classes in org.apache.commons.statistics.descriptive with type parameters of type StatisticResult

Modifier and Type	Interface	Description
interface	StatisticAccumulator<T extends StatisticResult>	A mutable result container that accumulates a StatisticResult.

Subinterfaces of StatisticResult in org.apache.commons.statistics.descriptive

Modifier and Type	Interface	Description
interface	DoubleStatistic	Represents a state object for computing a statistic over double valued input(s).
interface	IntStatistic	Represents a state object for computing a statistic over int valued input(s).
interface	LongStatistic	Represents a state object for computing a statistic over long valued input(s).

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

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.

Methods in org.apache.commons.statistics.descriptive that return StatisticResult

Modifier and Type	Method	Description
StatisticResult	DoubleStatistics.getResult(Statistic statistic)	Gets a supplier for the value of the specified statistic.
StatisticResult	IntStatistics.getResult(Statistic statistic)	Gets a supplier for the value of the specified statistic.
StatisticResult	LongStatistics.getResult(Statistic statistic)	Gets a supplier for the value of the specified statistic.