Uses of Interface org.hipparchus.stat.descriptive.StorelessUnivariateStatistic (Hipparchus 1.4 API)

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.