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#Com.numericalmethod.suanshu.stats.descriptive Classes and Interfaces - 22 results found.
| Name | Description | Type | Package | Framework |
| CorrelationMatrix | The correlation matrix of n random variables X1, . | Class | com.numericalmethod.suanshu.stats.descriptive.correlation | SuanShu |
| Covariance | Covariance is a measure of how much two variables change together. | Class | com.numericalmethod.suanshu.stats.descriptive.covariance | SuanShu |
| KendallRankCorrelation | Class | com.numericalmethod.suanshu.stats.descriptive.correlation | SuanShu | |
| Kurtosis | Kurtosis measures the "peakedness" of the probability distribution of a real-valued random Higher kurtosis means that there are more infrequent extreme deviations than frequent modestly | Class | com.numericalmethod.suanshu.stats.descriptive.moment | SuanShu |
| LedoitWolf2004 | To estimate the covariance matrix, Ledoit and Wolf (2004) suggests using the matrix obtained from the sample covariance matrix through a transformation called shrinkage. | Class | com.numericalmethod.suanshu.stats.descriptive.covariance | SuanShu |
| LedoitWolf2004 .Result | The estimator and some intermediate values computed by the algorithm. | Class | com.numericalmethod.suanshu.stats.descriptive.covariance | SuanShu |
| Max | The maximum of a sample is the biggest value in the sample. | Class | com.numericalmethod.suanshu.stats.descriptive.rank | SuanShu |
| Mean | The mean of a sample is the sum of all numbers in the sample, divided by the sample size. | Class | com.numericalmethod.suanshu.stats.descriptive.moment | SuanShu |
| Min | The minimum of a sample is the smallest value in the sample. | Class | com.numericalmethod.suanshu.stats.descriptive.rank | SuanShu |
| Moments | Compute the central moment of a data set incrementally. | Class | com.numericalmethod.suanshu.stats.descriptive.moment | SuanShu |
| Quantile | Quantiles are points taken at regular intervals from the cumulative distribution function (CDF) of a random variable. | Class | com.numericalmethod.suanshu.stats.descriptive.rank | SuanShu |
| Quantile .QuantileType | the available quantile definitionsSee Also:"R. | Class | com.numericalmethod.suanshu.stats.descriptive.rank | SuanShu |
| Rank | Rank is a relationship between a set of items such that, for any two items, the first is either "ranked higher than", "ranked lower than" or "ranked equal to" the second. | Class | com.numericalmethod.suanshu.stats.descriptive.rank | SuanShu |
| SampleCovariance | This class computes the Covariance matrix of a matrix, where the (i, j) entry is the covariance of the i-th column and j-th column of the matrix. | Class | com.numericalmethod.suanshu.stats.descriptive.covariance | SuanShu |
| Skewness | Skewness is a measure of the asymmetry of the probability distribution. | Class | com.numericalmethod.suanshu.stats.descriptive.moment | SuanShu |
| SpearmanRankCorrelation | Spearman's rank correlation coefficient or Spearman's rho is a non-parametric measure of statistical dependence between two variables. | Class | com.numericalmethod.suanshu.stats.descriptive.correlation | SuanShu |
| Statistic | A statistic (singular) is a single measure of some attribute of a sample (e. | Interface | com.numericalmethod.suanshu.stats.descriptive | SuanShu |
| StatisticFactory | A factory to construct a new Statistic. | Interface | com.numericalmethod.suanshu.stats.descriptive | SuanShu |
| 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. | Class | com.numericalmethod.suanshu.stats.descriptive | SuanShu |
| Variance | The variance of a sample is the average squared deviations from the sample mean. | Class | com.numericalmethod.suanshu.stats.descriptive.moment | SuanShu |
| WeightedMean | The weighted mean is defined as ar{x} = frac{ sum_{i=1}^N w_i x_i}{sum_{i=1}^N w_i} | Class | com.numericalmethod.suanshu.stats.descriptive.moment.weighted | SuanShu |
| WeightedVariance | The weighted sample variance is defined as follows. | Class | com.numericalmethod.suanshu.stats.descriptive.moment.weighted | SuanShu |