Name | Description | Type | Package | Framework |
DAgostino | D'Agostino's K2 test is a goodness-of-fit measure of departure from normality. | Class | com.numericalmethod.suanshu.stats.test.distribution.normality | SuanShu |
JarqueBera | The Jarque-Bera test is a goodness-of-fit measure of departure from normality, based on the sample kurtosis and skewness. | Class | com.numericalmethod.suanshu.stats.test.distribution.normality | SuanShu |
JarqueBeraDistribution | Jarque-Bera distribution is the distribution of the Jarque-Bera statistics, which measures the departure from normality. | Class | com.numericalmethod.suanshu.stats.test.distribution.normality | SuanShu |
Lilliefors | Lilliefors test tests the null hypothesis that data come from a normally distributed population with an estimated sample mean and variance. | Class | com.numericalmethod.suanshu.stats.test.distribution.normality | SuanShu |
ShapiroWilk | The Shapiro-Wilk test tests the null hypothesis that a sample comes from a normally distributed population. | Class | com.numericalmethod.suanshu.stats.test.distribution.normality | SuanShu |
ShapiroWilkDistribution | 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. | Class | com.numericalmethod.suanshu.stats.test.distribution.normality | SuanShu |