Package dev.nm.stat.test.distribution.normality


package dev.nm.stat.test.distribution.normality
  • Classes
    Class
    Description
    D'Agostino's K2 test is a goodness-of-fit measure of departure from normality.
    The Jarque-Bera test is a goodness-of-fit measure of departure from normality, based on the sample kurtosis and skewness.
    Jarque-Bera distribution is the distribution of the Jarque-Bera statistics, which measures the departure from normality.
    Lilliefors test tests the null hypothesis that data come from a normally distributed population with an estimated sample mean and variance.
    The Shapiro-Wilk test tests the null hypothesis that a sample comes from a normally distributed population.
    Shapiro-Wilk distribution is the distribution of the Shapiro-Wilk statistics, which tests the null hypothesis that a sample comes from a normally distributed population.