Uses of Interface
dev.nm.stat.descriptive.Statistic
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Uses of Statistic in dev.nm.stat.descriptive
Classes in dev.nm.stat.descriptive that implement Statistic Modifier and Type Class Description class
SynchronizedStatistic
This is a thread-safe wrapper ofStatistic
by synchronizing all public methods so that only one thread at a time can access the instance.Methods in dev.nm.stat.descriptive that return Statistic Modifier and Type Method Description Statistic
StatisticFactory. getStatistic()
Get aStatistic
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Uses of Statistic in dev.nm.stat.descriptive.correlation
Classes in dev.nm.stat.descriptive.correlation that implement Statistic Modifier and Type Class 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. -
Uses of Statistic in dev.nm.stat.descriptive.covariance
Classes in dev.nm.stat.descriptive.covariance that implement Statistic Modifier and Type Class Description class
Covariance
Covariance is a measure of how much two variables change together. -
Uses of Statistic in dev.nm.stat.descriptive.moment
Classes in dev.nm.stat.descriptive.moment that implement Statistic Modifier and Type Class 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. -
Uses of Statistic in dev.nm.stat.descriptive.moment.weighted
Classes in dev.nm.stat.descriptive.moment.weighted that implement Statistic Modifier and Type Class 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
WeightedMedian
A weighted median of a sample is the 50% weighted percentile.It was first proposed by F.class
WeightedVariance
The weighted sample variance is defined as follows. -
Uses of Statistic in dev.nm.stat.descriptive.rank
Classes in dev.nm.stat.descriptive.rank that implement Statistic Modifier and Type Class 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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