Extreme. Statistics. Tests Namespace
The Extreme.Statistics.Tests namespace contains classes that represent hypothesis tests.
Classes
| Anderson | Represents the distribution of the Anderson-Darling statistic A2. |
| Anderson | Represents an Anderson-Darling test that a sample is normally distributed. |
| Anova | Represents a post hoc test for equality of group means of a one-way Analysis of Variance (ANOVA). |
| Bartlett | Represents Bartlett's test that a set of samples have the same variance. |
| Chi | Represents a test that a sample comes from a specified distribution. |
| FTest | Represents a test that the ratio between the population variances of two samples is equal to a specific value. |
| Generalized | Represents a Generalized Extreme Studentized Deviate (ESD) test for multiple outliers in a sample. |
| Grubbs | Represents a Grubbs test for detecting a single outlier. |
| Hypothesis | Serves as an abstract base class for classes that represent a hypothesis test. |
| Kruskal | Represents the Kruskal-Wallis test. |
| Levene | Represents Levene's test that a set of samples have the same variance. |
| Ljung | Represents the Ljung-Box test that a sample is not auto-correlated. |
| Mann | Represents a non-parametric test that two samples are from the same distribution. |
| McNemar | Represents a McNemar test on paired proportions. |
| Multi | Represents a HypothesisTest based on two or more samples. |
| One | Represents a test that the population variance of a Vector<T> is equal to a specific value. |
| One | Represents a test that a sample comes from a specified distribution. |
| One | Represents a HypothesisTest based on a single sample. |
| One | |
| One | Represents a test that the population mean of a Vector<T> is equal to a specific value. |
| One | Represents a test that the population population mean of a Vector<T> is equal to a specific value when the population variance is known. |
| One | Represents a test that a proportion in a population equals a specific proportion. |
| Runs | Represents the runs test of randomness. |
| Shapiro | Represents the Shapiro-Wilk test that a sample is normally distributed. |
| Simple | Represents a hypothesis test that verifies a statistic with known distribution. |
| Stuart | Represents a Stuart-Maxwell test |
| Studentized | Represents the studentized range distribution. |
| Two | Represents a test that two samples come from the same, unspecified distribution. |
| Two | Represents a HypothesisTest based on two samples. |
| Two | Represents a HypothesisTest based on two samples. |
| Two | Represents a test that the difference between the population means of two samples is equal to a specific value. |
| Two | Represents a test that the difference between two proportions of independent samples is significant. |
Enumerations
| Exactness | Enumerates the possible values that specify whether the calculations for a hypothesis test should be exact or use an approximation. |
| Hypothesis | Enumerates the possible values for a hypothesis test. |
| Levene | Enumerates the ways the central tendency of a sample is calculated in Levene's test. |
| Sample | Enumerates the possible ways to relate two samples in a two sample hypothesis test. |