Uses of Interface
fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary

Packages that use StatisticalSummary

Package	Description
fr.cnes.sirius.patrius.math.random	Random number and random data generators.
fr.cnes.sirius.patrius.math.stat.descriptive
fr.cnes.sirius.patrius.math.stat.inference

Uses of StatisticalSummary in fr.cnes.sirius.patrius.math.random

Methods in fr.cnes.sirius.patrius.math.random that return StatisticalSummary

Modifier and Type	Method and Description
StatisticalSummary	EmpiricalDistribution.getSampleStats() Returns a StatisticalSummary describing this distribution.

Uses of StatisticalSummary in fr.cnes.sirius.patrius.math.stat.descriptive

Classes in fr.cnes.sirius.patrius.math.stat.descriptive that implement StatisticalSummary

Modifier and Type	Class and Description
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 fr.cnes.sirius.patrius.math.stat.descriptive that return StatisticalSummary

Modifier and Type	Method and Description
StatisticalSummary	SynchronizedSummaryStatistics.getSummary() Return a StatisticalSummaryValues instance reporting current statistics.
StatisticalSummary	AggregateSummaryStatistics.getSummary() Return a StatisticalSummaryValues instance reporting current aggregate statistics.
StatisticalSummary	SummaryStatistics.getSummary() Return a StatisticalSummaryValues instance reporting current statistics.

Uses of StatisticalSummary in fr.cnes.sirius.patrius.math.stat.inference

Methods in fr.cnes.sirius.patrius.math.stat.inference with parameters of type StatisticalSummary

Modifier and Type	Method and Description
static double	TestUtils.homoscedasticT(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) See TTest# homoscedasticT(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary, fr.cnes.sirius.patrius.math.stat.descriptive.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.homoscedasticTTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) See TTest# homoscedasticTTest(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary, fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary)
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.t(double mu, StatisticalSummary sampleStats)
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(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) See TTest# t(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary, fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary)
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.tTest(double mu, StatisticalSummary sampleStats)
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 boolean	TestUtils.tTest(double mu, StatisticalSummary sampleStats, double alpha)
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 double	TestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) See fr.cnes.sirius.patrius.math.stat.inference.TTest# tTest(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary, fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary)
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 boolean	TestUtils.tTest(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2, double alpha) See fr.cnes.sirius.patrius.math.stat.inference.TTest# tTest(fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary, fr.cnes.sirius.patrius.math.stat.descriptive.StatisticalSummary, double)
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.