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#Com.numericalmethod.suanshu.stats.test.distribution.normality Classes and Interfaces - 6 results found.
NameDescriptionTypePackageFramework
DAgostinoD'Agostino's K2 test is a goodness-of-fit measure of departure from normality.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
JarqueBeraThe Jarque-Bera test is a goodness-of-fit measure of departure from normality, based on the sample kurtosis and skewness.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
JarqueBeraDistributionJarque-Bera distribution is the distribution of the Jarque-Bera statistics, which measures the departure from normality.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
LillieforsLilliefors test tests the null hypothesis that data come from a normally distributed population with an estimated sample mean and variance.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
ShapiroWilkThe Shapiro-Wilk test tests the null hypothesis that a sample comes from a normally distributed population.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu
ShapiroWilkDistributionShapiro-Wilk distribution is the distribution of the Shapiro-Wilk statistics, which tests the null hypothesis that a sample comes from a normally distributed population.Classcom.numericalmethod.suanshu.stats.test.distribution.normalitySuanShu