Uses of Interface
org.hipparchus.stat.descriptive.StorelessUnivariateStatistic

Packages that use StorelessUnivariateStatistic

Package	Description
org.hipparchus.stat.descriptive	Generic univariate and multivariate summary statistic objects.
org.hipparchus.stat.descriptive.moment	Summary statistics based on moments.
org.hipparchus.stat.descriptive.rank	Summary statistics based on ranks.
org.hipparchus.stat.descriptive.summary	Other summary statistics.
org.hipparchus.stat.descriptive.vector	Multivariate statistics.

Uses of StorelessUnivariateStatistic in org.hipparchus.stat.descriptive

Classes in org.hipparchus.stat.descriptive that implement StorelessUnivariateStatistic

Modifier and Type	Class	Description
class	AbstractStorelessUnivariateStatistic	Abstract base class for implementations of the StorelessUnivariateStatistic interface.

Methods in org.hipparchus.stat.descriptive that return StorelessUnivariateStatistic

Modifier and Type	Method	Description
abstract StorelessUnivariateStatistic	AbstractStorelessUnivariateStatistic.copy()	Returns a copy of the statistic with the same internal state.
StorelessUnivariateStatistic	StorelessUnivariateStatistic.copy()	Returns a copy of the statistic with the same internal state.

Uses of StorelessUnivariateStatistic in org.hipparchus.stat.descriptive.moment

Classes in org.hipparchus.stat.descriptive.moment that implement StorelessUnivariateStatistic

Modifier and Type	Class	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.

Uses of StorelessUnivariateStatistic in org.hipparchus.stat.descriptive.rank

Classes in org.hipparchus.stat.descriptive.rank that implement StorelessUnivariateStatistic

Modifier and Type	Class	Description
class	Max	Returns the maximum of the available values.
class	Min	Returns the minimum of the available values.
class	PSquarePercentile	A StorelessUnivariateStatistic estimating percentiles using the P2 Algorithm as explained by Raj Jain and Imrich Chlamtac in P2 Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations.
class	RandomPercentile	A StorelessUnivariateStatistic estimating percentiles using the RANDOM Algorithm.

Uses of StorelessUnivariateStatistic in org.hipparchus.stat.descriptive.summary

Classes in org.hipparchus.stat.descriptive.summary that implement StorelessUnivariateStatistic

Modifier and Type	Class	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.

Uses of StorelessUnivariateStatistic in org.hipparchus.stat.descriptive.vector

Constructors in org.hipparchus.stat.descriptive.vector with parameters of type StorelessUnivariateStatistic

Constructor	Description
VectorialStorelessStatistic(int dimension, StorelessUnivariateStatistic univariateStatistic)	Create a new VectorialStorelessStatistic with the given dimension and statistic implementation.