Uses of Interface
org.apache.commons.math3.stat.descriptive.UnivariateStatistic
Packages that use UnivariateStatistic
Package
Description
Generic univariate summary statistic objects.
Summary statistics based on moments.
Summary statistics based on ranks.
Other summary statistics.
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Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive
Subinterfaces of UnivariateStatistic in org.apache.commons.math3.stat.descriptiveModifier and TypeInterfaceDescriptioninterfaceExtends the definition ofUnivariateStatisticwithStorelessUnivariateStatistic.increment(double)andStorelessUnivariateStatistic.incrementAll(double[])methods for adding values and updating internal state.Classes in org.apache.commons.math3.stat.descriptive that implement UnivariateStatisticModifier and TypeClassDescriptionclassAbstract implementation of theStorelessUnivariateStatisticinterface.classAbstract base class for all implementations of theUnivariateStatisticinterface.Methods in org.apache.commons.math3.stat.descriptive that return UnivariateStatisticModifier and TypeMethodDescriptionabstract UnivariateStatisticAbstractUnivariateStatistic.copy()Returns a copy of the statistic with the same internal state.UnivariateStatistic.copy()Returns a copy of the statistic with the same internal state.DescriptiveStatistics.getGeometricMeanImpl()Returns the currently configured geometric mean implementation.DescriptiveStatistics.getKurtosisImpl()Returns the currently configured kurtosis implementation.DescriptiveStatistics.getMaxImpl()Returns the currently configured maximum implementation.DescriptiveStatistics.getMeanImpl()Returns the currently configured mean implementation.DescriptiveStatistics.getMinImpl()Returns the currently configured minimum implementation.DescriptiveStatistics.getPercentileImpl()Returns the currently configured percentile implementation.DescriptiveStatistics.getSkewnessImpl()Returns the currently configured skewness implementation.DescriptiveStatistics.getSumImpl()Returns the currently configured sum implementation.DescriptiveStatistics.getSumsqImpl()Returns the currently configured sum of squares implementation.DescriptiveStatistics.getVarianceImpl()Returns the currently configured variance implementation.Methods in org.apache.commons.math3.stat.descriptive with parameters of type UnivariateStatisticModifier and TypeMethodDescriptiondoubleDescriptiveStatistics.apply(UnivariateStatistic stat) Apply the given statistic to the data associated with this set of statistics.doubleSynchronizedDescriptiveStatistics.apply(UnivariateStatistic stat) Apply the given statistic to the data associated with this set of statistics.voidDescriptiveStatistics.setGeometricMeanImpl(UnivariateStatistic geometricMeanImpl) Sets the implementation for the gemoetric mean.voidDescriptiveStatistics.setKurtosisImpl(UnivariateStatistic kurtosisImpl) Sets the implementation for the kurtosis.voidDescriptiveStatistics.setMaxImpl(UnivariateStatistic maxImpl) Sets the implementation for the maximum.voidDescriptiveStatistics.setMeanImpl(UnivariateStatistic meanImpl) Sets the implementation for the mean.voidDescriptiveStatistics.setMinImpl(UnivariateStatistic minImpl) Sets the implementation for the minimum.voidDescriptiveStatistics.setPercentileImpl(UnivariateStatistic percentileImpl) Sets the implementation to be used byDescriptiveStatistics.getPercentile(double).voidDescriptiveStatistics.setSkewnessImpl(UnivariateStatistic skewnessImpl) Sets the implementation for the skewness.voidDescriptiveStatistics.setSumImpl(UnivariateStatistic sumImpl) Sets the implementation for the sum.voidDescriptiveStatistics.setSumsqImpl(UnivariateStatistic sumsqImpl) Sets the implementation for the sum of squares.voidDescriptiveStatistics.setVarianceImpl(UnivariateStatistic varianceImpl) Sets the implementation for the variance. -
Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive.moment
Classes in org.apache.commons.math3.stat.descriptive.moment that implement UnivariateStatisticModifier and TypeClassDescriptionclassReturns the geometric mean of the available values.classComputes the Kurtosis of the available values.classComputes the arithmetic mean of a set of values.classComputes a statistic related to the Second Central Moment.classComputes the semivariance of a set of values with respect to a given cutoff value.classComputes the skewness of the available values.classComputes the sample standard deviation.classComputes the variance of the available values. -
Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive.rank
Classes in org.apache.commons.math3.stat.descriptive.rank that implement UnivariateStatisticModifier and TypeClassDescriptionclassReturns the maximum of the available values.classReturns the median of the available values.classReturns the minimum of the available values.classProvides percentile computation.classAStorelessUnivariateStatisticestimating percentiles using the invalid input: '<'ahref=http://www.cs.wustl.edu/~jain/papers/ftp/psqr.pdf>P2 Algorithm as explained by Raj Jain and Imrich Chlamtac in P2 Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations. -
Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive.summary
Classes in org.apache.commons.math3.stat.descriptive.summary that implement UnivariateStatisticModifier and TypeClassDescriptionclassReturns the product of the available values.classReturns the sum of the available values.classReturns the sum of the natural logs for this collection of values.classReturns the sum of the squares of the available values.