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    • Aggregator Class
    • AnovaModel Class
    • AnovaModelRow Class
    • AnovaRow Class
    • AnovaRowCollection Class
    • AnovaRowType Enumeration
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    • BoundaryIntervalBehavior Enumeration
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    • DataArray(T) Class
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    • Descriptives(T) Class
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    • GeneralizedLinearModel Class
    • Histogram Class
    • HistogramBin Structure
    • HistogramBinCollection Class
    • HypothesisTests Class
    • InsufficientDataException Class
    • ITransformationModel Interface
    • Kernel Class
    • KernelDensity Class
    • KernelDensityBandwidthEstimator Enumeration
    • KeyVariable Class
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    • LinearRegressionModel Class
    • LinkFunction Class
    • LogisticRegressionMethod Enumeration
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    • ModelTerm Class
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    • ModelTermKind Enumeration
    • MultipleMissingValueAction Enumeration
    • NearestCorrelationMatrixAlgorithm Enumeration
    • NonlinearRegressionModel Class
    • NumericalScale Class
    • NumericalVariable Class
    • NumericalVariable.NumericalFilters Structure
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    • Observation Structure
    • ObservationCollection Class
    • OneWayAnovaModel Class
    • OneWayRAnovaModel Class
    • Parameter Class
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    • ParameterVector Class
    • PolynomialRegressionModel Class
    • RankTiebreaker Enumeration
    • RegressionModel Class
    • RegularizedRegressionModel Class
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    • SeriesExtensions Class
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    • Stats Class
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    • TransformationModel Class
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  • LogisticRegressionModel Class
    • LogisticRegressionModel Constructors
    • Properties
    • Methods
  • Methods
    • ComputeModel Method Overloads
    • GetBaseLogLikelihood Method
    • GetCovarianceMatrix Method
    • GetCoxAndSnellPseudoRSquared Method
    • GetInformationMatrix Method
    • GetLikelihoodRatioTest Method Overloads
    • GetLogLikelihood Method
    • GetMcFaddenPseudoRSquared Method
    • GetNagelkerkePseudoRSquared Method
    • GetPearsonGoodnessOfFitTest Method
    • GetWaldTest Method Overloads
    • Predict Method Overloads
    • PredictCore Method Overloads
    • PredictProbabilitiesCore Method Overloads
    • Summarize Method Overloads
  • GetPearsonGoodnessOfFitTest Method
LogisticRegressionModelGetPearsonGoodnessOfFitTest Method Extreme Optimization Numerical Libraries for .NET Professional
Returns the Wald test for all the parameters in the regression.

Namespace: Extreme.Statistics
Assembly: Extreme.Numerics.Net40 (in Extreme.Numerics.Net40.dll) Version: 6.0.16073.0 (6.0.16312.0)
Syntax
C#
VB
C++
F#
Copy
public SimpleHypothesisTest GetPearsonGoodnessOfFitTest()
Public Function GetPearsonGoodnessOfFitTest As SimpleHypothesisTest
public:
SimpleHypothesisTest^ GetPearsonGoodnessOfFitTest()
member GetPearsonGoodnessOfFitTest : unit -> SimpleHypothesisTest

Return Value

Type: SimpleHypothesisTest
A SimpleHypothesisTest object.
Exceptions
ExceptionCondition
InvalidOperationException The model has not been computed.
Version Information

Numerical Libraries

Supported in: 6.0, 5.x, 4.x
See Also

Reference

LogisticRegressionModel Class
Extreme.Statistics Namespace

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