Uses of Interface
org.apache.commons.math3.stat.descriptive.StatisticalSummary

Packages that use StatisticalSummary

org.apache.commons.math3.random	Random number and random data generators.
org.apache.commons.math3.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math3.stat.inference	Classes providing hypothesis testing and confidence interval construction.

Uses of StatisticalSummary in org.apache.commons.math3.random

Methods in org.apache.commons.math3.random that return StatisticalSummary

StatisticalSummary

EmpiricalDistribution.getSampleStats() Returns a StatisticalSummary describing this distribution.

Uses of StatisticalSummary in org.apache.commons.math3.stat.descriptive

Classes in org.apache.commons.math3.stat.descriptive that implement StatisticalSummary

class	AggregateSummaryStatistics An aggregator for SummaryStatistics from several data sets or data set partitions.
class	DescriptiveStatistics Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
class	StatisticalSummaryValues Value object representing the results of a univariate statistical summary.
class	SummaryStatistics Computes summary statistics for a stream of data values added using the addValue method.
class	SynchronizedDescriptiveStatistics Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.
class	SynchronizedSummaryStatistics Implementation of SummaryStatistics that is safe to use in a multithreaded environment.

Methods in org.apache.commons.math3.stat.descriptive that return StatisticalSummary

StatisticalSummary	SummaryStatistics.getSummary() Return a StatisticalSummaryValues instance reporting current statistics.
StatisticalSummary	SynchronizedSummaryStatistics.getSummary() Return a StatisticalSummaryValues instance reporting current statistics.
StatisticalSummary	AggregateSummaryStatistics.getSummary() Return a StatisticalSummaryValues instance reporting current aggregate statistics.

Uses of StatisticalSummary in org.apache.commons.math3.stat.inference

Methods in org.apache.commons.math3.stat.inference with parameters of type StatisticalSummary

double	TTest.homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.
static double	TestUtils.homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
double	TTest.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 double	TestUtils.homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
double	TTest.t(double mu, StatisticalSummary sampleStats) Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
static double	TestUtils.t(double mu, StatisticalSummary sampleStats)
double	TTest.t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.
static double	TestUtils.t(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
double	TTest.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 by sampleStats with the constant mu.
static double	TestUtils.tTest(double mu, StatisticalSummary sampleStats)
boolean	TTest.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 by stats is drawn equals mu.
static boolean	TestUtils.tTest(double mu, StatisticalSummary sampleStats, double alpha)
double	TTest.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.
static double	TestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2)
boolean	TTest.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha) Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
static boolean	TestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha)