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 classSynchronizedStatisticThis is a thread-safe wrapper ofStatisticby 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 StatisticStatisticFactory. getStatistic()Get aStatistic. -
Uses of Statistic in dev.nm.stat.descriptive.correlation
Classes in dev.nm.stat.descriptive.correlation that implement Statistic Modifier and Type Class Description classKendallRankCorrelationThe 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.classSpearmanRankCorrelationSpearman'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 classCovarianceCovariance 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 classKurtosisKurtosis measures the "peakedness" of the probability distribution of a real-valued random variable.classMeanThe mean of a sample is the sum of all numbers in the sample, divided by the sample size.classMomentsCompute the central moment of a data set incrementally.classSkewnessSkewness is a measure of the asymmetry of the probability distribution.classVarianceThe 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 classWeightedMeanThe weighted mean is defined as \[ \bar{x} = \frac{ \sum_{i=1}^N w_i x_i}{\sum_{i=1}^N w_i} \]classWeightedMedianA weighted median of a sample is the 50% weighted percentile.It was first proposed by F.classWeightedVarianceThe 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 classMaxThe maximum of a sample is the biggest value in the sample.classMinThe minimum of a sample is the smallest value in the sample.classQuantileQuantiles are points taken at regular intervals from the cumulative distribution function (CDF) of a random variable.
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