LogisticRegressionFitAnalysisParameterCalcPearsonStatistic(IEqualityComparerDoubleVector) Method

Computes the Pearson chi-square statistic and related quantities from the Pearson residuals. To determine if two observations are the same (share the same covariate pattern) thier variable values are compared using the given comparer object.

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

Syntax

C++

Copy

public LogisticRegressionFitAnalysisParameterCalcPearsonChiSqrStatistic PearsonStatistic(
	IEqualityComparer<DoubleVector> covariatesEqualityComparer
)

Public Function PearsonStatistic ( 
	covariatesEqualityComparer As IEqualityComparer(Of DoubleVector)
) As LogisticRegressionFitAnalysisParameterCalcPearsonChiSqrStatistic

public:
LogisticRegressionFitAnalysisParameterCalcPearsonChiSqrStatistic^ PearsonStatistic(
	IEqualityComparer<DoubleVector^>^ covariatesEqualityComparer
)

member PearsonStatistic : 
        covariatesEqualityComparer : IEqualityComparer<DoubleVector> -> LogisticRegressionFitAnalysisParameterCalcPearsonChiSqrStatistic

Parameters

covariatesEqualityComparer IEqualityComparerDoubleVector: Object used to test equality between covariate patterns.

Return Value

LogisticRegressionFitAnalysisParameterCalcPearsonChiSqrStatistic
A Pearson chi-square object.

Reference

LogisticRegressionFitAnalysisParameterCalc Class

PearsonStatistic Overload

CenterSpace.NMath.Core Namespace