Uses of Interface
org.apache.commons.math3.stat.descriptive.StatisticalSummary
Packages that use StatisticalSummary
Package
Description
Random number and random data generators.
Generic univariate summary statistic objects.
Classes providing hypothesis testing.
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Uses of StatisticalSummary in org.apache.commons.math3.random
Methods in org.apache.commons.math3.random that return StatisticalSummaryModifier and TypeMethodDescriptionEmpiricalDistribution.getSampleStats()Returns aStatisticalSummarydescribing this distribution. -
Uses of StatisticalSummary in org.apache.commons.math3.stat.descriptive
Classes in org.apache.commons.math3.stat.descriptive that implement StatisticalSummaryModifier and TypeClassDescriptionclassAn aggregator forSummaryStatisticsfrom several data sets or data set partitions.classMaintains a dataset of values of a single variable and computes descriptive statistics based on stored data.classValue object representing the results of a univariate statistical summary.classComputes summary statistics for a stream of data values added using theaddValuemethod.classImplementation ofDescriptiveStatisticsthat is safe to use in a multithreaded environment.classImplementation ofSummaryStatisticsthat is safe to use in a multithreaded environment.Methods in org.apache.commons.math3.stat.descriptive that return StatisticalSummaryModifier and TypeMethodDescriptionAggregateSummaryStatistics.getSummary()Return aStatisticalSummaryValuesinstance reporting current aggregate statistics.SummaryStatistics.getSummary()Return aStatisticalSummaryValuesinstance reporting current statistics.SynchronizedSummaryStatistics.getSummary()Return aStatisticalSummaryValuesinstance reporting current statistics.Method parameters in org.apache.commons.math3.stat.descriptive with type arguments of type StatisticalSummaryModifier and TypeMethodDescriptionstatic StatisticalSummaryValuesAggregateSummaryStatistics.aggregate(Collection<? extends StatisticalSummary> statistics) Computes aggregate summary statistics. -
Uses of StatisticalSummary in org.apache.commons.math3.stat.inference
Methods in org.apache.commons.math3.stat.inference with parameters of type StatisticalSummaryModifier and TypeMethodDescriptionstatic doubleTestUtils.homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) doubleTTest.homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) Computes a 2-sample t statistic, comparing the means of the datasets described by twoStatisticalSummaryinstances, under the assumption of equal subpopulation variances.static doubleTestUtils.homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) doubleTTest.homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.static doubleTestUtils.t(double mu, StatisticalSummary sampleStats) static doubleTestUtils.t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) doubleTTest.t(double mu, StatisticalSummary sampleStats) doubleTTest.t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) Computes a 2-sample t statistic , comparing the means of the datasets described by twoStatisticalSummaryinstances, without the assumption of equal subpopulation variances.static doubleTestUtils.tTest(double mu, StatisticalSummary sampleStats) static booleanTestUtils.tTest(double mu, StatisticalSummary sampleStats, double alpha) static doubleTestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) static booleanTestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha) doubleTTest.tTest(double mu, StatisticalSummary sampleStats) Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described bysampleStatswith the constantmu.booleanTTest.tTest(double mu, StatisticalSummary sampleStats, double alpha) Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described bystatsis drawn equalsmu.doubleTTest.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.booleanTTest.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha) Performs a two-sided t-test evaluating the null hypothesis thatsampleStats1andsampleStats2describe datasets drawn from populations with the same mean, with significance levelalpha.