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.
|
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. |
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. |
Modifier and Type | Method | Description |
---|---|---|
static StatisticalSummary |
StatisticalSummary.aggregate(StatisticalSummary... statistics) |
Computes aggregated statistical summaries.
|
Modifier and Type | Method | Description |
---|---|---|
static StatisticalSummary |
StatisticalSummary.aggregate(Iterable<? extends StatisticalSummary> statistics) |
Computes aggregated statistical summaries.
|
Modifier and Type | Method | Description |
---|---|---|
StatisticalSummary |
EmpiricalDistribution.getSampleStats() |
Returns a
StatisticalSummary describing this distribution. |
Modifier and Type | Method | Description |
---|---|---|
static double |
InferenceTestUtils.homoscedasticT(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2) |
|
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) |
|
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) |
|
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 two
StatisticalSummary instances, without the
assumption of equal subpopulation variances. |
static double |
InferenceTestUtils.tTest(double mu,
StatisticalSummary sampleStats) |
|
static boolean |
InferenceTestUtils.tTest(double mu,
StatisticalSummary sampleStats,
double alpha) |
|
static double |
InferenceTestUtils.tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2) |
|
static boolean |
InferenceTestUtils.tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2,
double 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 . |
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