Represents a test that a sample is normally distributed.

Namespace: Extreme.Statistics.Tests
Assembly: Extreme.Numerics (Extreme.Numerics)

Syntax

Visual Basic (Declaration)
Public NotInheritable Class AndersonDarlingTest _ Inherits OneSampleTest

C#
public sealed class AndersonDarlingTest : OneSampleTest

C++
public ref class AndersonDarlingTest sealed : public OneSampleTest

Methods

Icon	Type	Description
	CalculateStatistic()	Calculates the value of the statistic used for this test.
	Equals(Object)	Determines whether the specified Object is equal to the current Object.
	Finalize()	Allows an Object to attempt to free resources and perform other cleanup operations before the Object is reclaimed by garbage collection.
	GetConfidenceInterval(Double)	Returns the confidence interval for the test parameter for the specified confidence level.
	GetHashCode()	Serves as a hash function for a particular type.
	GetLowerCriticalValue()	Gets the lower critical value for the hypothesis test's current significance level.
	GetLowerCriticalValue(Double)	Gets the lower critical value for the hypothesis test at the specified significance level.
	GetType()	Gets the Type of the current instance.
	GetUpperCriticalValue()	Gets the upper critical value for the test statistic at the hypothesis test's current significance level.
	GetUpperCriticalValue(Double)	Gets the upper critical value for the test statistic at the specified significance level.
	MemberwiseClone()	Creates a shallow copy of the current Object.
	Reject()	Returns a value that indicates whether the null hypothesis is rejected using the default significance level.
	Reject(Double)	Returns a value that indicates whether the null hypothesis is rejected using the specified significance level.
	ToString()	Returns a String that represents the current Object.

Constructors

Icon	Type	Description
	AndersonDarlingTestNew()	Constructs a new Anderson-Darling test of normality.
	AndersonDarlingTestNew(NumericalVariable)	Constructs a new Anderson-Darling test of normality.
	AndersonDarlingTestNew(NumericalVariable, Double, Double)	Constructs a new Anderson-Darling test of normality.

Properties

Icon	Type	Description
	Distribution	Sets the probability distribution used in the hypothesis test.
	HypothesisType	Gets or sets a value that indicates whether the test is one or two-tailed.
	Mean	Gets or sets the mean of the distribution being tested.
	PValue	Gets the probability that the test statistic would take on the calculated value under the null hypothesis.
	Sample	Gets or sets the variable the test is to be applied to.
	SignificanceLevel	Gets the significance level used to test the null hypothesis.
	StandardDeviation	Gets or sets the standard deviation of the distribution being tested.
	Statistic	Gets the value of the test statistic.

Remarks

Use the AndersonDarlingTest class to test whether a sample comes from a normal distribution. The Anderson-Darling test is a variation of the OneSampleKolmogorovSmirnovTest 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.

Inheritance Hierarchy

System.Object
  Extreme.Statistics.Tests.HypothesisTest
    Extreme.Statistics.Tests.OneSampleTest
      Extreme.Statistics.Tests.AndersonDarlingTest