Anderson Darling Test Class
Represents an Anderson-Darling test that a sample is normally distributed.
Definition
Namespace: Extreme.Statistics.Tests
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
C#
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
public sealed class AndersonDarlingTest : OneSampleTest
- Inheritance
- Object → HypothesisTest → OneSampleTest<Double> → OneSampleTest → AndersonDarlingTest
Remarks
Use the AndersonDarlingTest class to test whether a sample comes from a normal distribution. The Anderson-Darling test is a variation of the Kolmogorov-Smirnov test that gives more weight to the tails of the distribution. In addition, the parameters of the distribution may be estimated from the sample. This makes the test more applicable in a larger number of cases.
The Mean and StandardDeviation of the distribution may be specified, but this is not necessary.
Constructors
Anderson | Constructs a new Anderson-Darling test of normality. |
Anderson | Constructs a new Anderson-Darling test of normality. |
Anderson | Constructs a new Anderson-Darling test for the specified distribution. |
Anderson | Constructs a new Anderson-Darling test for the specified distribution function. |
Anderson | Constructs a new Anderson-Darling test of normality. |
Properties
Distribution |
Gets the probability distribution used in the hypothesis test.
(Inherited from HypothesisTest) |
Hypothesis |
Gets or sets whether the test is one or two-tailed.
(Inherited from HypothesisTest) |
Mean | Gets or sets the mean of the distribution being tested. |
Name |
Gets the name of the hypothesis test.
(Overrides HypothesisTest.Name) |
PValue |
Gets the probability that the test statistic would take on the calculated value under the alternate hypothesis.
(Inherited from HypothesisTest) |
Sample |
Gets or sets the variable the test is to be applied to.
(Inherited from OneSampleTest<T>) |
Significance |
Gets the significance level used to test the null hypothesis.
(Inherited from HypothesisTest) |
Standard | Gets or sets the standard deviation of the distribution being tested. |
Statistic |
Gets the value of the test statistic.
(Inherited from HypothesisTest) |
Methods
Equals | Determines whether the specified object is equal to the current object. (Inherited from Object) |
Get |
Returns the confidence interval for the test parameter for the default confidence level.
(Inherited from HypothesisTest) |
Get |
Returns the confidence interval for the test parameter for the specified confidence level.
(Inherited from HypothesisTest) |
GetHashCode | Serves as the default hash function. (Inherited from Object) |
Get |
Gets the lower critical value for the hypothesis test's current significance level.
(Inherited from HypothesisTest) |
Get |
Gets the lower critical value for the hypothesis test at the specified significance level.
(Inherited from HypothesisTest) |
Get |
Gets the probability that the test statistic would take on the calculated value under the specified alternate hypothesis.
(Inherited from HypothesisTest) |
GetType | Gets the Type of the current instance. (Inherited from Object) |
Get |
Gets the upper critical value for the test statistic at the hypothesis test's current significance level.
(Inherited from HypothesisTest) |
Get |
Gets the upper critical value for the test statistic at the specified significance level.
(Inherited from HypothesisTest) |
Reject() |
Returns whether the null hypothesis is rejected
using the default significance level.
(Inherited from HypothesisTest) |
Reject( |
Returns whether the null hypothesis is rejected using the specified significance level.
(Inherited from HypothesisTest) |
Summarize() |
Returns a string containing a human-readable summary of the object.
(Inherited from HypothesisTest) |
Summarize( |
Returns a string containing a human-readable summary of the object
using the specified options.
(Inherited from OneSampleTest<T>) |
ToString | Returns a string that represents the current object. (Inherited from HypothesisTest) |