Uses of Interface
org.hipparchus.stat.descriptive.StatisticalSummary

Packages that use StatisticalSummary

Package	Description
org.hipparchus.stat.descriptive	Generic univariate and multivariate summary statistic objects.
org.hipparchus.stat.fitting	Statistical methods for fitting distributions.
org.hipparchus.stat.inference	Classes providing hypothesis testing.

Uses of StatisticalSummary in org.hipparchus.stat.descriptive

Classes in org.hipparchus.stat.descriptive that implement StatisticalSummary

Modifier and Type	Class	Description
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	StreamingStatistics	Computes summary statistics for a stream of data values added using the addValue method.

Methods in org.hipparchus.stat.descriptive that return StatisticalSummary

Modifier and Type	Method	Description
static StatisticalSummary	StatisticalSummary.aggregate(Iterable<? extends StatisticalSummary> statistics)	Computes aggregated statistical summaries.
static StatisticalSummary	StatisticalSummary.aggregate(StatisticalSummary... statistics)	Computes aggregated statistical summaries.
StatisticalSummary	StreamingStatistics.getSummary()	Return a StatisticalSummaryValues instance reporting current statistics.

Methods in org.hipparchus.stat.descriptive with parameters of type StatisticalSummary

Modifier and Type	Method	Description
static StatisticalSummary	StatisticalSummary.aggregate(StatisticalSummary... statistics)	Computes aggregated statistical summaries.

Method parameters in org.hipparchus.stat.descriptive with type arguments of type StatisticalSummary

Modifier and Type	Method	Description
static StatisticalSummary	StatisticalSummary.aggregate(Iterable<? extends StatisticalSummary> statistics)	Computes aggregated statistical summaries.

Uses of StatisticalSummary in org.hipparchus.stat.fitting

Methods in org.hipparchus.stat.fitting that return StatisticalSummary

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

Uses of StatisticalSummary in org.hipparchus.stat.inference

Methods in org.hipparchus.stat.inference with parameters of type StatisticalSummary

Modifier and Type	Method	Description
static double	InferenceTestUtils.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.
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	InferenceTestUtils.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.
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	InferenceTestUtils.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	InferenceTestUtils.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.
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.
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	InferenceTestUtils.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	InferenceTestUtils.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	InferenceTestUtils.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	InferenceTestUtils.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.
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.
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.
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.
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.