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Packages that use UnivariateStatistic | |
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org.apache.commons.math.stat | Data storage, manipulation and summary routines. |
org.apache.commons.math.stat.descriptive | Generic univariate summary statistic objects. |
org.apache.commons.math.stat.descriptive.moment | Summary statistics based on moments. |
org.apache.commons.math.stat.descriptive.rank | Summary statistics based on ranks. |
org.apache.commons.math.stat.descriptive.summary | Other summary statistics. |
Uses of UnivariateStatistic in org.apache.commons.math.stat |
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Fields in org.apache.commons.math.stat declared as UnivariateStatistic | |
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private static UnivariateStatistic |
StatUtils.max
max |
private static UnivariateStatistic |
StatUtils.mean
mean |
private static UnivariateStatistic |
StatUtils.min
min |
private static UnivariateStatistic |
StatUtils.prod
prod |
private static UnivariateStatistic |
StatUtils.sum
sum |
private static UnivariateStatistic |
StatUtils.sumLog
sumLog |
private static UnivariateStatistic |
StatUtils.sumSq
sumSq |
Uses of UnivariateStatistic in org.apache.commons.math.stat.descriptive |
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Subinterfaces of UnivariateStatistic in org.apache.commons.math.stat.descriptive | |
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interface |
StorelessUnivariateStatistic
Extends the definition of UnivariateStatistic with
StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding
values and updating internal state. |
Classes in org.apache.commons.math.stat.descriptive that implement UnivariateStatistic | |
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class |
AbstractStorelessUnivariateStatistic
Abstract implementation of the StorelessUnivariateStatistic interface. |
class |
AbstractUnivariateStatistic
Abstract base class for all implementations of the UnivariateStatistic interface. |
Fields in org.apache.commons.math.stat.descriptive declared as UnivariateStatistic | |
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private UnivariateStatistic |
DescriptiveStatistics.geometricMeanImpl
Geometric mean statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.kurtosisImpl
Kurtosis statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.maxImpl
Maximum statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.meanImpl
Mean statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.minImpl
Minimum statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.percentileImpl
Percentile statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.skewnessImpl
Skewness statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.sumImpl
Sum statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.sumsqImpl
Sum of squares statistic implementation - can be reset by setter. |
private UnivariateStatistic |
DescriptiveStatistics.varianceImpl
Variance statistic implementation - can be reset by setter. |
Methods in org.apache.commons.math.stat.descriptive that return UnivariateStatistic | |
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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. |
Methods in org.apache.commons.math.stat.descriptive with parameters of type UnivariateStatistic | |
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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 this univariate collection. |
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. |
Uses of UnivariateStatistic in org.apache.commons.math.stat.descriptive.moment |
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Classes in org.apache.commons.math.stat.descriptive.moment that implement UnivariateStatistic | |
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class |
FirstMoment
Computes the first moment (arithmetic mean). |
class |
FourthMoment
Computes a statistic related to the Fourth Central Moment. |
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 |
Skewness
Computes the skewness of the available values. |
class |
StandardDeviation
Computes the sample standard deviation. |
class |
ThirdMoment
Computes a statistic related to the Third Central Moment. |
class |
Variance
Computes the variance of the available values. |
Uses of UnivariateStatistic in org.apache.commons.math.stat.descriptive.rank |
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Classes in org.apache.commons.math.stat.descriptive.rank that implement UnivariateStatistic | |
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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. |
Uses of UnivariateStatistic in org.apache.commons.math.stat.descriptive.summary |
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Classes in org.apache.commons.math.stat.descriptive.summary that implement UnivariateStatistic | |
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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. |
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