AnovaRegressionParameter Class

Class AnovaRegressionParameter provides information about a regression parameter used to perform an analysis of variance by class TwoWayAnova.

Inheritance Hierarchy

SystemObject
  CenterSpace.NMath.CoreLinearRegressionParameter
    CenterSpace.NMath.CoreAnovaRegressionParameter
      CenterSpace.NMath.CoreAnovaRegressionFactorParam
      CenterSpace.NMath.CoreAnovaRegressionInteractionParam

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

Syntax

C++

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[SerializableAttribute]
public class AnovaRegressionParameter : LinearRegressionParameter

<SerializableAttribute>
Public Class AnovaRegressionParameter
	Inherits LinearRegressionParameter

[SerializableAttribute]
public ref class AnovaRegressionParameter : public LinearRegressionParameter

[<SerializableAttribute>]
type AnovaRegressionParameter = 
    class
        inherit LinearRegressionParameter
    end

The AnovaRegressionParameter type exposes the following members.

Constructors

	Name	Description
	AnovaRegressionParameter	Used by Clone method.
	AnovaRegressionParameter(LinearRegression, Int32, Double)	Construct an ANOVA regression parameter object from the given linear regression and sum of squares.
	AnovaRegressionParameter(Int32, Double, Double, Double, Int32, Double)	Construct an Anova regression paramater object with the given values.

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Properties

	Name	Description
	Beta	Gets the standardized beta coefficient. (Inherited from LinearRegressionParameter)
	ParameterIndex	Gets the index of this parameter in the linear regresssion. (Inherited from LinearRegressionParameter)
	StandardError	Gets the standard error of this parameter. (Inherited from LinearRegressionParameter)
	SumOfSquares	Gets the sum of squares due to this parameter.
	Value	Gets the value of this parameter. (Inherited from LinearRegressionParameter)

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Methods

	Name	Description
	Clone	Creates a deep copy of this AnovaRegressionParameter.
	ConfidenceInterval	Returns the 1 - alpha confidence interval for this parameter. (Inherited from LinearRegressionParameter)
	SetParameterValues	Set the linear regression paramater values. (Inherited from LinearRegressionParameter)
	SetRegression	Sets the regression object and the parameter index for this regression parameter. (Inherited from LinearRegressionParameter)
	ToString	Returns a formatted string representation of this parameter. (Inherited from LinearRegressionParameter)
	TStatistic	Returns the t-statistic for the null hypothesis that this parameter is equal to the given test value. (Inherited from LinearRegressionParameter)
	TStatisticCriticalValue	Gets the critical value of the t-statistic for the specified alpha level. (Inherited from LinearRegressionParameter)
	TStatisticPValue	Returns the p-value for a t-test with the null hypothesis that this parameter is equal to the given test value versus the alternative hypothesis that it is not. (Inherited from LinearRegressionParameter)

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Fields

	Name	Description
	beta_	Beta field. (Inherited from LinearRegressionParameter)
	degreesOfFreedom_	Degrees of freedom field. (Inherited from LinearRegressionParameter)
	modelVariance_	Model variance field. (Inherited from LinearRegressionParameter)
	parameterValue_	Parameter value field. (Inherited from LinearRegressionParameter)
	parameterVariance_	Parameter variance field. (Inherited from LinearRegressionParameter)
	paramIndex_	Parameter index field. (Inherited from LinearRegressionParameter)
	sumOfSquares_	Sum of squares.

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Remarks

Instances of class AnovaRegressionParameter are returned by properties and member functions on class TwoWayAnova. They cannot be constructed independently.
AnovaRegressionParameter derives from LinearRegressionParameter, which provides properties for computing the t statistic, p-value for the t statistic, and confidence intervals for individual regression parameters.
AnovaRegressionParameter is the base class for AnovaRegressionFactorParam and AnovaRegressionInteractionParam.

Reference

CenterSpace.NMath.Core Namespace