Class SampleSkewnessCalculator

  • All Implemented Interfaces:

    public class SampleSkewnessCalculator
    extends Object
    implements Function<double[],​Double>
    The sample skewness gives a measure of the asymmetry of the probability distribution of a variable. For a series of data $x_1, x_2, \dots, x_n$, an unbiased estimator of the sample skewness is $$ \begin{align*} \mu_3 = \frac{\sqrt{n(n-1)}}{n-2}\frac{\frac{1}{n}\sum_{i=1}^n (x_i - \overline{x})^3}{\left(\frac{1}{n}\sum_{i=1}^n (x_i - \overline{x})^2\right)^\frac{3}{2}} \end{align*} $$ where $\overline{x}$ is the sample mean.
    • Constructor Detail

      • SampleSkewnessCalculator

        public SampleSkewnessCalculator()