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Packages that use StatisticalSummary | |
org.apache.commons.math.random | Random number and random data generators. |
org.apache.commons.math.stat.descriptive | Generic univariate summary statistic objects. |
org.apache.commons.math.stat.inference | Classes providing hypothesis testing and confidence interval construction. |
Uses of StatisticalSummary in org.apache.commons.math.random |
Methods in org.apache.commons.math.random that return StatisticalSummary | |
StatisticalSummary |
EmpiricalDistribution.getSampleStats()
Returns a StatisticalSummary
describing this distribution. |
StatisticalSummary |
EmpiricalDistributionImpl.getSampleStats()
Returns a StatisticalSummary describing this distribution. |
Uses of StatisticalSummary in org.apache.commons.math.stat.descriptive |
Classes in org.apache.commons.math.stat.descriptive that implement StatisticalSummary | |
class |
DescriptiveStatistics
Abstract factory class for univariate statistical summaries. |
class |
DescriptiveStatisticsImpl
Default implementation of DescriptiveStatistics . |
class |
StatisticalSummaryValues
Value object representing the results of a univariate statistical summary. |
class |
SummaryStatistics
Abstract factory class for univariate statistical summaries. |
class |
SummaryStatisticsImpl
Provides a default SummaryStatistics implementation. |
Methods in org.apache.commons.math.stat.descriptive that return StatisticalSummary | |
StatisticalSummary |
SummaryStatistics.getSummary()
Return a StatisticalSummaryValues instance reporting current
statistics. |
Uses of StatisticalSummary in org.apache.commons.math.stat.inference |
Methods in org.apache.commons.math.stat.inference with parameters of type StatisticalSummary | |
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. |
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. |
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. |
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. |
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 . |
double |
TTestImpl.t(double mu,
StatisticalSummary sampleStats)
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu . |
double |
TTestImpl.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 |
TTestImpl.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 |
TTestImpl.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 |
TTestImpl.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 |
TTestImpl.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. |
double |
TTestImpl.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. |
boolean |
TTestImpl.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 double |
TestUtils.homoscedasticT(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
|
static double |
TestUtils.homoscedasticTTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
|
static double |
TestUtils.t(double mu,
StatisticalSummary sampleStats)
|
static double |
TestUtils.t(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
|
static boolean |
TestUtils.tTest(double mu,
StatisticalSummary sampleStats,
double alpha)
|
static double |
TestUtils.tTest(double mu,
StatisticalSummary sampleStats)
|
static boolean |
TestUtils.tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2,
double alpha)
|
static double |
TestUtils.tTest(StatisticalSummary sampleStats1,
StatisticalSummary sampleStats2)
|
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