Name | Description | Type | Package | Framework |
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 |
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 |
Moments | Compute the central moment of a data set incrementally. | Class | com.numericalmethod.suanshu.stats.descriptive.moment | SuanShu |
Skewness | Skewness is a measure of the asymmetry of the probability distribution. | Class | com.numericalmethod.suanshu.stats.descriptive.moment | 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 |