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