OneSampleKSTest Class

Class OneSampleKSTest performs a Kolmogorov-Smirnov test of the distribution of one sample.

Inheritance Hierarchy

SystemObject
CenterSpace.NMath.CoreOneSampleKSTest

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4

Syntax

C++

Copy

[SerializableAttribute]
public class OneSampleKSTest : ICloneable

<SerializableAttribute>
Public Class OneSampleKSTest
	Implements ICloneable

[SerializableAttribute]
public ref class OneSampleKSTest : ICloneable

[<SerializableAttribute>]
type OneSampleKSTest = 
    class
        interface ICloneable
    end

The OneSampleKSTest type exposes the following members.

Constructors

	Name	Description
	OneSampleKSTest	Default constructor. Constructs an empty OneSampleKSTest instance.
	OneSampleKSTest(Double, ProbabilityDistribution)	Constructs a OneSampleKSTest from the given sample data and specified distribution.
	OneSampleKSTest(Double, FuncDouble, Double)	Constructs a OneSampleKSTest from the given sample data and specified cumulative distribution function (CDF).
	OneSampleKSTest(DoubleVector, ProbabilityDistribution)	Constructs a OneSampleKSTest from the given sample data and specified distribution.
	OneSampleKSTest(DoubleVector, FuncDouble, Double)	Constructs a OneSampleKSTest from the given sample data and specified cumulative distribution function (CDF).
	OneSampleKSTest(IDFColumn, ProbabilityDistribution)	Constructs a OneSampleKSTest from the given sample data and specified distribution.
	OneSampleKSTest(IDFColumn, FuncDouble, Double)	Constructs a OneSampleKSTest from the given sample data and specified cumulative distribution function (CDF).
	OneSampleKSTest(Int32, ProbabilityDistribution)	Constructs a OneSampleKSTest from the given sample data and specified distribution.
	OneSampleKSTest(Int32, FuncDouble, Double)	Constructs a OneSampleKSTest from the given sample data and specified cumulative distribution function (CDF).
	OneSampleKSTest(Double, ProbabilityDistribution, Double)	Constructs a OneSampleKSTest from the given sample data and specified distribution.
	OneSampleKSTest(Double, FuncDouble, Double, Double)	Constructs a OneSampleKSTest from the given sample data and specified cumulative distribution function (CDF).
	OneSampleKSTest(DoubleVector, ProbabilityDistribution, Double)	Constructs a OneSampleKSTest from the given sample data and specified distribution.
	OneSampleKSTest(DoubleVector, FuncDouble, Double, Double)	Constructs a OneSampleKSTest from the given sample data and specified cumulative distribution function (CDF).
	OneSampleKSTest(IDFColumn, ProbabilityDistribution, Double)	Constructs a OneSampleKSTest from the given sample data and specified distribution.
	OneSampleKSTest(IDFColumn, FuncDouble, Double, Double)	Constructs a OneSampleKSTest from the given sample data and specified cumulative distribution function (CDF).
	OneSampleKSTest(Int32, ProbabilityDistribution, Double)	Constructs a OneSampleKSTest from the given sample data and specified distribution.
	OneSampleKSTest(Int32, FuncDouble, Double, Double)	Constructs a OneSampleKSTest from the given sample data and specified cumulative distribution function (CDF).

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Properties

	Name	Description
	Alpha	Gets and sets the alpha level associated with this hypothesis test.
	CriticalValue	Gets the critical value based on the current alpha level associated with this hypothesis test.
	DefaultAlpha	Gets and sets the default alpha level associated with OneSampleKSTests.
	N	Gets the sample size.
	P	Gets the p-value associated with the test statistic.
	Reject	Tests whether the null hypothesis can be rejected, using the current alpha level.
	Statistic	Gets the value of the test statistic associated with this hypothesis test.

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Methods

	Name	Description
	Clone	Creates a deep copy of this OneSampleKSTest.
	Update(Double, ProbabilityDistribution)	Updates this test with new sample data and a new distribution.
	Update(Double, FuncDouble, Double)	Updates this test with new sample data and a new cumulative distribution function (CDF).
	Update(DoubleVector, ProbabilityDistribution)	Updates this test with new sample data and a new distribution.
	Update(DoubleVector, FuncDouble, Double)	Updates this test with new sample data and a new cumulative distribution function (CDF).
	Update(IDFColumn, ProbabilityDistribution)	Updates this test with new sample data and a new distribution.
	Update(IDFColumn, FuncDouble, Double)	Updates this test with new sample data and a new cumulative distribution function (CDF).
	Update(Int32, ProbabilityDistribution)	Updates this test with new sample data and a new distribution.
	Update(Int32, FuncDouble, Double)	Updates this test with new sample data and a new cumulative distribution function (CDF).

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Remarks

Class OneSampleKSTest compares the distribution of a given sample to the hypothesized distribution defined by a specified cumulative distribution function (CDF). For each potential value x, the Kolmogorov-Smirnov test compares the proportion of values less than x with the expected number predicted by the specified CDF. The null hypothesis is that the given sample data follow the specified distribution. The alternative hypothesis that the data do not have that distribution.

Reference

CenterSpace.NMath.Core Namespace