Uses of Interface
org.hipparchus.stat.descriptive.StatisticalSummary
Packages that use StatisticalSummary
Package
Description
Generic univariate and multivariate summary statistic objects.
Statistical methods for fitting distributions.
Classes providing hypothesis testing.
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Uses of StatisticalSummary in org.hipparchus.stat.descriptive
Classes in org.hipparchus.stat.descriptive that implement StatisticalSummaryModifier and TypeClassDescriptionclass
Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.class
Value object representing the results of a univariate statistical summary.class
Computes summary statistics for a stream of data values added using theaddValue
method.Methods in org.hipparchus.stat.descriptive that return StatisticalSummaryModifier and TypeMethodDescriptionstatic StatisticalSummary
StatisticalSummary.aggregate
(Iterable<? extends StatisticalSummary> statistics) Computes aggregated statistical summaries.static StatisticalSummary
StatisticalSummary.aggregate
(StatisticalSummary... statistics) Computes aggregated statistical summaries.StreamingStatistics.getSummary()
Return aStatisticalSummaryValues
instance reporting current statistics.Methods in org.hipparchus.stat.descriptive with parameters of type StatisticalSummaryModifier and TypeMethodDescriptionstatic StatisticalSummary
StatisticalSummary.aggregate
(StatisticalSummary... statistics) Computes aggregated statistical summaries.Method parameters in org.hipparchus.stat.descriptive with type arguments of type StatisticalSummaryModifier and TypeMethodDescriptionstatic 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 StatisticalSummaryModifier and TypeMethodDescriptionEmpiricalDistribution.getSampleStats()
Returns aStatisticalSummary
describing this distribution. -
Uses of StatisticalSummary in org.hipparchus.stat.inference
Methods in org.hipparchus.stat.inference with parameters of type StatisticalSummaryModifier and TypeMethodDescriptionstatic double
InferenceTestUtils.homoscedasticT
(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) Computes a 2-sample t statistic, comparing the means of the datasets described by twoStatisticalSummary
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 twoStatisticalSummary
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) static double
InferenceTestUtils.t
(StatisticalSummary sampleStats1, StatisticalSummary sampleStats2) Computes a 2-sample t statistic, comparing the means of the datasets described by twoStatisticalSummary
instances, without the assumption of equal subpopulation variances.double
TTest.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 twoStatisticalSummary
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 bysampleStats
with the constantmu
.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 bystats
is drawn equalsmu
.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 thatsampleStats1
andsampleStats2
describe datasets drawn from populations with the same mean, with significance levelalpha
.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 bysampleStats
with the constantmu
.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 bystats
is drawn equalsmu
.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 thatsampleStats1
andsampleStats2
describe datasets drawn from populations with the same mean, with significance levelalpha
.