Uses of Interface
org.apache.commons.math3.stat.descriptive.UnivariateStatistic
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Packages that use UnivariateStatistic Package Description org.apache.commons.math3.stat Data storage, manipulation and summary routines.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. -
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Uses of UnivariateStatistic in org.apache.commons.math3.stat
Fields in org.apache.commons.math3.stat declared as UnivariateStatistic Modifier and Type Field Description private static UnivariateStatistic
StatUtils. MAX
maxprivate static UnivariateStatistic
StatUtils. MEAN
meanprivate static UnivariateStatistic
StatUtils. MIN
minprivate static UnivariateStatistic
StatUtils. PRODUCT
prodprivate static UnivariateStatistic
StatUtils. SUM
sumprivate static UnivariateStatistic
StatUtils. SUM_OF_LOGS
sumLogprivate static UnivariateStatistic
StatUtils. SUM_OF_SQUARES
sumSq -
Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive
Subinterfaces of UnivariateStatistic in org.apache.commons.math3.stat.descriptive Modifier and Type Interface Description interface
StorelessUnivariateStatistic
Extends the definition ofUnivariateStatistic
withStorelessUnivariateStatistic.increment(double)
andStorelessUnivariateStatistic.incrementAll(double[])
methods for adding values and updating internal state.Classes in org.apache.commons.math3.stat.descriptive that implement UnivariateStatistic Modifier and Type Class Description class
AbstractStorelessUnivariateStatistic
Abstract implementation of theStorelessUnivariateStatistic
interface.class
AbstractUnivariateStatistic
Abstract base class for all implementations of theUnivariateStatistic
interface.Fields in org.apache.commons.math3.stat.descriptive declared as UnivariateStatistic Modifier and Type Field Description 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.math3.stat.descriptive that return UnivariateStatistic Modifier and Type Method 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.Methods in org.apache.commons.math3.stat.descriptive with parameters of type UnivariateStatistic Modifier and Type Method 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 byDescriptiveStatistics.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.math3.stat.descriptive.moment
Classes in org.apache.commons.math3.stat.descriptive.moment that implement UnivariateStatistic Modifier and Type Class Description (package private) class
FirstMoment
Computes the first moment (arithmetic mean).(package private) 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
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.(package private) 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.math3.stat.descriptive.rank
Classes in org.apache.commons.math3.stat.descriptive.rank that implement UnivariateStatistic Modifier and Type Class 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
AStorelessUnivariateStatistic
estimating percentiles using theP2 Algorithm as explained by Raj Jain and Imrich Chlamtac in P2 Algorithm for Dynamic Calculation of Quantiles and Histogram Without Storing Observations. -
Uses of UnivariateStatistic in org.apache.commons.math3.stat.descriptive.summary
Classes in org.apache.commons.math3.stat.descriptive.summary that implement UnivariateStatistic Modifier and Type Class 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.
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