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OneSampleAndersonDarlingTest Class

Class OneSampleAndersonDarlingTest performs a Anderson-Darling test of the distribution of one sample.
Inheritance Hierarchy
SystemObject
  CenterSpace.NMath.CoreOneSampleAndersonDarlingTest

Namespace:  CenterSpace.NMath.Core
Assembly:  NMath (in NMath.dll) Version: 7.4
Syntax
[SerializableAttribute]
public class OneSampleAndersonDarlingTest : ICloneable

The OneSampleAndersonDarlingTest type exposes the following members.

Constructors
  NameDescription
Public methodOneSampleAndersonDarlingTest
Default constructor. Constructs an empty OneSampleAndersonDarlingTest instance.
Public methodOneSampleAndersonDarlingTest(Double)
Constructs a OneSampleAndersonDarlingTest from the given sample data where the population mean and population standard deviation are unknown.
Public methodOneSampleAndersonDarlingTest(Int32)
Constructs a OneSampleAndersonDarlingTest from the given sample data where the population mean and population standard deviation are unknown.
Public methodOneSampleAndersonDarlingTest(DoubleVector)
Constructs a OneSampleAndersonDarlingTest from the given sample data where the population mean and population standard deviation are unknown.
Public methodOneSampleAndersonDarlingTest(IDFColumn)
Constructs a OneSampleAndersonDarlingTest from the given sample data where the population mean and population standard deviation are unknown.
Public methodOneSampleAndersonDarlingTest(Double, Double)
Constructs a OneSampleAndersonDarlingTest from the given sample data where the population mean and population standard deviation are unknown.
Public methodOneSampleAndersonDarlingTest(Int32, Double)
Constructs a OneSampleAndersonDarlingTest from the given sample data where the population mean and population standard deviation are unknown.
Public methodOneSampleAndersonDarlingTest(DoubleVector, Double)
Constructs a OneSampleAndersonDarlingTest from the given sample data where the population mean and population standard deviation are unknown.
Public methodOneSampleAndersonDarlingTest(IDFColumn, Double)
Constructs a OneSampleAndersonDarlingTest from the given sample data where the population mean and population standard deviation are unknown.
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Properties
  NameDescription
Public propertyAlpha
Gets and sets the alpha level associated with this hypothesis test.
Public propertyStatic memberDefaultAlpha
Default alpha level
Public propertyError
Error message if the Anderson-Darling test fails on the provided data
Public propertyIsGood
If the test statistic cannot be derived then IsGood is set to false. Otherwise, IsGood is true.
Public propertyN
Gets the sample size.
Public propertyP
Gets the p-value associated with the test statistic.
Public propertyReject
Tests whether the null hypothesis can be rejected using the current alpha level.
Public propertyS
Sample standard deviation.
Public propertyStatistic
Test statistic associated with this hypothesis test (A).
Public propertyStatisticStar
Modified Anderson Darling statistic used to derive P (A*)
Public propertyXbar
Sample mean.
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Methods
Remarks
Class OneSampleAndersonDarlingTest compares the distribution of a given sample to normal distribution function (CDF). The alternative hypothesis that the data do not have a normal distribution.
See Also