| Package | Description |
|---|---|
| org.apache.commons.math3.stat.descriptive |
Generic univariate summary statistic objects.
|
| org.apache.commons.math3.stat.descriptive.moment |
Summary statistics based on moments.
|
| org.apache.commons.math3.stat.descriptive.rank |
Summary statistics based on ranks.
|
| org.apache.commons.math3.stat.descriptive.summary |
Other summary statistics.
|
| Modifier and Type | Interface and Description |
|---|---|
interface |
StorelessUnivariateStatistic
Extends the definition of
UnivariateStatistic with
StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding
values and updating internal state. |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractStorelessUnivariateStatistic
Abstract implementation of the
StorelessUnivariateStatistic interface. |
class |
AbstractUnivariateStatistic
Abstract base class for all implementations of the
UnivariateStatistic interface. |
| Modifier and Type | Method and Description |
|---|---|
abstract UnivariateStatistic |
AbstractUnivariateStatistic.copy()
Returns a copy of the statistic with the same internal state.
|
UnivariateStatistic |
UnivariateStatistic.copy()
Returns a copy of the statistic with the same internal state.
|
UnivariateStatistic |
DescriptiveStatistics.getGeometricMeanImpl()
Returns the currently configured geometric mean implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getKurtosisImpl()
Returns the currently configured kurtosis implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getMaxImpl()
Returns the currently configured maximum implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getMeanImpl()
Returns the currently configured mean implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getMinImpl()
Returns the currently configured minimum implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getPercentileImpl()
Returns the currently configured percentile implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getSkewnessImpl()
Returns the currently configured skewness implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getSumImpl()
Returns the currently configured sum implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getSumsqImpl()
Returns the currently configured sum of squares implementation.
|
UnivariateStatistic |
DescriptiveStatistics.getVarianceImpl()
Returns the currently configured variance implementation.
|
| Modifier and Type | Method and Description |
|---|---|
double |
DescriptiveStatistics.apply(UnivariateStatistic stat)
Apply the given statistic to the data associated with this set of statistics.
|
double |
SynchronizedDescriptiveStatistics.apply(UnivariateStatistic stat)
Apply the given statistic to the data associated with this set of statistics.
|
void |
DescriptiveStatistics.setGeometricMeanImpl(UnivariateStatistic geometricMeanImpl)
Sets the implementation for the gemoetric mean.
|
void |
DescriptiveStatistics.setKurtosisImpl(UnivariateStatistic kurtosisImpl)
Sets the implementation for the kurtosis.
|
void |
DescriptiveStatistics.setMaxImpl(UnivariateStatistic maxImpl)
Sets the implementation for the maximum.
|
void |
DescriptiveStatistics.setMeanImpl(UnivariateStatistic meanImpl)
Sets the implementation for the mean.
|
void |
DescriptiveStatistics.setMinImpl(UnivariateStatistic minImpl)
Sets the implementation for the minimum.
|
void |
DescriptiveStatistics.setPercentileImpl(UnivariateStatistic percentileImpl)
Sets the implementation to be used by
DescriptiveStatistics.getPercentile(double). |
void |
DescriptiveStatistics.setSkewnessImpl(UnivariateStatistic skewnessImpl)
Sets the implementation for the skewness.
|
void |
DescriptiveStatistics.setSumImpl(UnivariateStatistic sumImpl)
Sets the implementation for the sum.
|
void |
DescriptiveStatistics.setSumsqImpl(UnivariateStatistic sumsqImpl)
Sets the implementation for the sum of squares.
|
void |
DescriptiveStatistics.setVarianceImpl(UnivariateStatistic varianceImpl)
Sets the implementation for the variance.
|
| Modifier and Type | Class and Description |
|---|---|
class |
GeometricMean
Returns the
geometric mean of the available values.
|
class |
Kurtosis
Computes the Kurtosis of the available values.
|
class |
Mean
Computes the arithmetic mean of a set of values.
|
class |
SecondMoment
Computes a statistic related to the Second Central Moment.
|
class |
SemiVariance
Computes the semivariance of a set of values with respect to a given cutoff value.
|
class |
Skewness
Computes the skewness of the available values.
|
class |
StandardDeviation
Computes the sample standard deviation.
|
class |
Variance
Computes the variance of the available values.
|
| Modifier and Type | Class and Description |
|---|---|
class |
Max
Returns the maximum of the available values.
|
class |
Median
Returns the median of the available values.
|
class |
Min
Returns the minimum of the available values.
|
class |
Percentile
Provides percentile computation.
|
class |
PSquarePercentile
A
StorelessUnivariateStatistic estimating percentiles using the
|
| Modifier and Type | Class and Description |
|---|---|
class |
Product
Returns the product of the available values.
|
class |
Sum
Returns the sum of the available values.
|
class |
SumOfLogs
Returns the sum of the natural logs for this collection of values.
|
class |
SumOfSquares
Returns the sum of the squares of the available values.
|
Copyright © 2003–2016 The Apache Software Foundation. All rights reserved.