Modifier and Type | Class and Description |
---|---|
class |
SynchronizedStatistic
This is a thread-safe wrapper of
Statistic by synchronizing all public methods
so that only one thread at a time can access the instance. |
Modifier and Type | Method and Description |
---|---|
Statistic |
StatisticFactory.getStatistic()
Get a
Statistic . |
Modifier and Type | Class and Description |
---|---|
class |
KendallRankCorrelation
The Kendall rank correlation coefficient, commonly referred to as Kendall's tau (τ)
coefficient, is a statistic used to measure the association between two measured quantities.
|
class |
SpearmanRankCorrelation
Spearman's rank correlation coefficient or Spearman's rho is a non-parametric measure of
statistical dependence between two variables.
|
Modifier and Type | Class and Description |
---|---|
class |
Covariance
Covariance is a measure of how much two variables change together.
|
Modifier and Type | Class and Description |
---|---|
class |
Kurtosis
Kurtosis measures the "peakedness" of the probability distribution of a real-valued random
variable.
|
class |
Mean
The mean of a sample is the sum of all numbers in the sample,
divided by the sample size.
|
class |
Moments
Compute the central moment of a data set incrementally.
|
class |
Skewness
Skewness is a measure of the asymmetry of the probability distribution.
|
class |
Variance
The variance of a sample is the average squared deviations from the sample mean.
|
Modifier and Type | Class and Description |
---|---|
class |
WeightedMean
The weighted mean is defined as
\[
\bar{x} = \frac{ \sum_{i=1}^N w_i x_i}{\sum_{i=1}^N w_i}
\]
|
class |
WeightedVariance
The weighted sample variance is defined as follows.
|
Modifier and Type | Class and Description |
---|---|
class |
Max
The maximum of a sample is the biggest value in the sample.
|
class |
Min
The minimum of a sample is the smallest value in the sample.
|
class |
Quantile
Quantiles are points taken at regular intervals from the cumulative distribution function (CDF) of a random variable.
|
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