Uses of Interface
org.hipparchus.stat.descriptive.UnivariateStatistic
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Packages that use UnivariateStatistic 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. -
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Uses of UnivariateStatistic in org.hipparchus.stat.descriptive
Subinterfaces of UnivariateStatistic in org.hipparchus.stat.descriptive Modifier and Type Interface Description interface
StorelessUnivariateStatistic
Extends the definition ofUnivariateStatistic
withStorelessUnivariateStatistic.increment(double)
andStorelessUnivariateStatistic.incrementAll(double[])
methods for adding values and updating internal state.Classes in org.hipparchus.stat.descriptive that implement UnivariateStatistic Modifier and Type Class Description class
AbstractStorelessUnivariateStatistic
Abstract base class for implementations of theStorelessUnivariateStatistic
interface.class
AbstractUnivariateStatistic
Abstract base class for implementations of theUnivariateStatistic
interface.Methods in org.hipparchus.stat.descriptive that return UnivariateStatistic Modifier and Type Method Description abstract UnivariateStatistic
AbstractUnivariateStatistic. copy()
Returns a copy of the statistic with the same internal state.UnivariateStatistic
UnivariateStatistic. copy()
Returns a copy of the statistic with the same internal state.Methods in org.hipparchus.stat.descriptive with parameters of type UnivariateStatistic Modifier and Type Method Description double
DescriptiveStatistics. apply(UnivariateStatistic stat)
Apply the given statistic to the data associated with this set of statistics. -
Uses of UnivariateStatistic in org.hipparchus.stat.descriptive.moment
Classes in org.hipparchus.stat.descriptive.moment that implement UnivariateStatistic 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
SemiVariance
Computes the semivariance of a set of values with respect to a given cutoff value.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 UnivariateStatistic in org.hipparchus.stat.descriptive.rank
Classes in org.hipparchus.stat.descriptive.rank that implement UnivariateStatistic Modifier and Type Class Description class
Max
Returns the maximum of the available values.class
Median
Returns the median of the available values.class
Min
Returns the minimum of the available values.class
Percentile
Provides percentile computation.class
PSquarePercentile
AStorelessUnivariateStatistic
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
AStorelessUnivariateStatistic
estimating percentiles using the RANDOM Algorithm. -
Uses of UnivariateStatistic in org.hipparchus.stat.descriptive.summary
Classes in org.hipparchus.stat.descriptive.summary that implement UnivariateStatistic 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.
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