Uses of Interface
org.apache.commons.math3.stat.descriptive.StorelessUnivariateStatistic
Packages that use StorelessUnivariateStatistic
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 StorelessUnivariateStatistic in org.apache.commons.math3.stat.descriptive
Classes in org.apache.commons.math3.stat.descriptive that implement StorelessUnivariateStatisticModifier and TypeClassDescriptionclassAbstract implementation of theStorelessUnivariateStatisticinterface.Methods in org.apache.commons.math3.stat.descriptive that return StorelessUnivariateStatisticModifier and TypeMethodDescriptionabstract StorelessUnivariateStatisticAbstractStorelessUnivariateStatistic.copy()Returns a copy of the statistic with the same internal state.StorelessUnivariateStatistic.copy()Returns a copy of the statistic with the same internal state.MultivariateSummaryStatistics.getGeoMeanImpl()Returns the currently configured geometric mean implementationSummaryStatistics.getGeoMeanImpl()Returns the currently configured geometric mean implementationSynchronizedMultivariateSummaryStatistics.getGeoMeanImpl()Returns the currently configured geometric mean implementationSynchronizedSummaryStatistics.getGeoMeanImpl()Returns the currently configured geometric mean implementationMultivariateSummaryStatistics.getMaxImpl()Returns the currently configured maximum implementationSummaryStatistics.getMaxImpl()Returns the currently configured maximum implementationSynchronizedMultivariateSummaryStatistics.getMaxImpl()Returns the currently configured maximum implementationSynchronizedSummaryStatistics.getMaxImpl()Returns the currently configured maximum implementationMultivariateSummaryStatistics.getMeanImpl()Returns the currently configured mean implementationSummaryStatistics.getMeanImpl()Returns the currently configured mean implementationSynchronizedMultivariateSummaryStatistics.getMeanImpl()Returns the currently configured mean implementationSynchronizedSummaryStatistics.getMeanImpl()Returns the currently configured mean implementationMultivariateSummaryStatistics.getMinImpl()Returns the currently configured minimum implementationSummaryStatistics.getMinImpl()Returns the currently configured minimum implementationSynchronizedMultivariateSummaryStatistics.getMinImpl()Returns the currently configured minimum implementationSynchronizedSummaryStatistics.getMinImpl()Returns the currently configured minimum implementationMultivariateSummaryStatistics.getSumImpl()Returns the currently configured Sum implementationSummaryStatistics.getSumImpl()Returns the currently configured Sum implementationSynchronizedMultivariateSummaryStatistics.getSumImpl()Returns the currently configured Sum implementationSynchronizedSummaryStatistics.getSumImpl()Returns the currently configured Sum implementationMultivariateSummaryStatistics.getSumLogImpl()Returns the currently configured sum of logs implementationSummaryStatistics.getSumLogImpl()Returns the currently configured sum of logs implementationSynchronizedMultivariateSummaryStatistics.getSumLogImpl()Returns the currently configured sum of logs implementationSynchronizedSummaryStatistics.getSumLogImpl()Returns the currently configured sum of logs implementationMultivariateSummaryStatistics.getSumsqImpl()Returns the currently configured sum of squares implementationSummaryStatistics.getSumsqImpl()Returns the currently configured sum of squares implementationSynchronizedMultivariateSummaryStatistics.getSumsqImpl()Returns the currently configured sum of squares implementationSynchronizedSummaryStatistics.getSumsqImpl()Returns the currently configured sum of squares implementationSummaryStatistics.getVarianceImpl()Returns the currently configured variance implementationSynchronizedSummaryStatistics.getVarianceImpl()Returns the currently configured variance implementationMethods in org.apache.commons.math3.stat.descriptive with parameters of type StorelessUnivariateStatisticModifier and TypeMethodDescriptionvoidMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl) Sets the implementation for the geometric mean.voidSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl) Sets the implementation for the geometric mean.voidSynchronizedMultivariateSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic[] geoMeanImpl) Sets the implementation for the geometric mean.voidSynchronizedSummaryStatistics.setGeoMeanImpl(StorelessUnivariateStatistic geoMeanImpl) Sets the implementation for the geometric mean.voidMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl) Sets the implementation for the maximum.voidSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl) Sets the implementation for the maximum.voidSynchronizedMultivariateSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic[] maxImpl) Sets the implementation for the maximum.voidSynchronizedSummaryStatistics.setMaxImpl(StorelessUnivariateStatistic maxImpl) Sets the implementation for the maximum.voidMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl) Sets the implementation for the mean.voidSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl) Sets the implementation for the mean.voidSynchronizedMultivariateSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic[] meanImpl) Sets the implementation for the mean.voidSynchronizedSummaryStatistics.setMeanImpl(StorelessUnivariateStatistic meanImpl) Sets the implementation for the mean.voidMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl) Sets the implementation for the minimum.voidSummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl) Sets the implementation for the minimum.voidSynchronizedMultivariateSummaryStatistics.setMinImpl(StorelessUnivariateStatistic[] minImpl) Sets the implementation for the minimum.voidSynchronizedSummaryStatistics.setMinImpl(StorelessUnivariateStatistic minImpl) Sets the implementation for the minimum.voidMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl) Sets the implementation for the Sum.voidSummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl) Sets the implementation for the Sum.voidSynchronizedMultivariateSummaryStatistics.setSumImpl(StorelessUnivariateStatistic[] sumImpl) Sets the implementation for the Sum.voidSynchronizedSummaryStatistics.setSumImpl(StorelessUnivariateStatistic sumImpl) Sets the implementation for the Sum.voidMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl) Sets the implementation for the sum of logs.voidSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl) Sets the implementation for the sum of logs.voidSynchronizedMultivariateSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic[] sumLogImpl) Sets the implementation for the sum of logs.voidSynchronizedSummaryStatistics.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl) Sets the implementation for the sum of logs.voidMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl) Sets the implementation for the sum of squares.voidSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl) Sets the implementation for the sum of squares.voidSynchronizedMultivariateSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic[] sumsqImpl) Sets the implementation for the sum of squares.voidSynchronizedSummaryStatistics.setSumsqImpl(StorelessUnivariateStatistic sumsqImpl) Sets the implementation for the sum of squares.voidSummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl) Sets the implementation for the variance.voidSynchronizedSummaryStatistics.setVarianceImpl(StorelessUnivariateStatistic varianceImpl) Sets the implementation for the variance. -
Uses of StorelessUnivariateStatistic in org.apache.commons.math3.stat.descriptive.moment
Classes in org.apache.commons.math3.stat.descriptive.moment that implement StorelessUnivariateStatisticModifier 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 skewness of the available values.classComputes the sample standard deviation.classComputes the variance of the available values.Methods in org.apache.commons.math3.stat.descriptive.moment that return StorelessUnivariateStatisticModifier and TypeMethodDescriptionGeometricMean.getSumLogImpl()Returns the currently configured sum of logs implementationMethods in org.apache.commons.math3.stat.descriptive.moment with parameters of type StorelessUnivariateStatisticModifier and TypeMethodDescriptionvoidGeometricMean.setSumLogImpl(StorelessUnivariateStatistic sumLogImpl) Sets the implementation for the sum of logs. -
Uses of StorelessUnivariateStatistic in org.apache.commons.math3.stat.descriptive.rank
Classes in org.apache.commons.math3.stat.descriptive.rank that implement StorelessUnivariateStatisticModifier and TypeClassDescriptionclassReturns the maximum of the available values.classReturns the minimum of the available values.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.Methods in org.apache.commons.math3.stat.descriptive.rank that return StorelessUnivariateStatisticModifier and TypeMethodDescriptionPSquarePercentile.copy()Returns a copy of the statistic with the same internal state. -
Uses of StorelessUnivariateStatistic in org.apache.commons.math3.stat.descriptive.summary
Classes in org.apache.commons.math3.stat.descriptive.summary that implement StorelessUnivariateStatisticModifier 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.