ChiSquareGoodnessOfFitTest Class

Members See Also

Represents a test that a sample comes from a specified distribution.

Namespace: Extreme.Statistics.Tests
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 4.2.11333.0 (4.2.12253.0)

Syntax

C#
public sealed class ChiSquareGoodnessOfFitTest : OneSampleTest

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

Visual C++
public ref class ChiSquareGoodnessOfFitTest sealed : public OneSampleTest

F#
[<SealedAttribute>] type ChiSquareGoodnessOfFitTest = class inherit OneSampleTest end

Remarks

Use the ChiSquareGoodnessOfFitTest class to test whether a sample comes from a specific distribution.

The sample can be supplied as either a NumericalVariable or a Histogram.

The distribution can be specified as a probability distribution (a class that inherits from Distribution) or a Histogram. The distribution can be discrete or continuous.

If the sample and distribution are both supplied as a Histogram, the boundaries must be identical.

A chi-square test uses binned data. A drawback is that the results of the test depend on how the data is binned. The test also needs a suffient sample size for the chi-square approximation to be valid.

The AndersonDarlingTest and OneSampleKolmogorovSmirnovTest tests are alternatives to the chi-square goodness-of-fit test, but they are valid only for continuous distributions.

Inheritance Hierarchy

System..::..Object
  Extreme.Statistics.Tests..::..HypothesisTest
    Extreme.Statistics.Tests..::..OneSampleTest<(Of <(<'NumericalVariable>)>)>
      Extreme.Statistics.Tests..::..OneSampleTest
        Extreme.Statistics.Tests..::..ChiSquareGoodnessOfFitTest