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AnovaRegressionInteractionParam Class

Class AnovaRegressionInteractionParam provides information about a regression parameter associated with the interaction between the level of one ANOVA factor and the level of another ANOVA factor.
Inheritance Hierarchy
SystemObject
  CenterSpace.NMath.CoreLinearRegressionParameter
    CenterSpace.NMath.CoreAnovaRegressionParameter
      CenterSpace.NMath.CoreAnovaRegressionInteractionParam

Namespace: CenterSpace.NMath.Core
Assembly: NMath (in NMath.dll) Version: 7.4
Syntax
[SerializableAttribute]
public class AnovaRegressionInteractionParam : AnovaRegressionParameter

The AnovaRegressionInteractionParam type exposes the following members.

Properties
 NameDescription
Public propertyBeta Gets the standardized beta coefficient.
(Inherited from LinearRegressionParameter)
Public propertyFactorALevel Gets the level of the first factor in the interaction.
Public propertyFactorAName Gets the name of the first factor in the interaction.
Public propertyFactorBLevel Gets the level of the second factor in the interaction.
Public propertyFactorBName Gets the name of the second factor in the interaction.
Public propertyParameterIndex Gets the index of this parameter in the linear regresssion.
(Inherited from LinearRegressionParameter)
Public propertyStandardError Gets the standard error of this parameter.
(Inherited from LinearRegressionParameter)
Public propertySumOfSquares Gets the sum of squares due to this parameter.
(Inherited from AnovaRegressionParameter)
Public propertyValue Gets the value of this parameter.
(Inherited from LinearRegressionParameter)
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Methods
 NameDescription
Public methodClone Creates a deep copy of this AnovaRegressionInteractionParam.
Public methodConfidenceInterval Returns the 1 - alpha confidence interval for this parameter.
(Inherited from LinearRegressionParameter)
Public methodEquals Tests for equality of the interaction regression parameter and another interaction regression parameter. Two interaction regression parameters are equal if they have the same factor names and level values.
(Overrides ObjectEquals(Object))
Public methodGetHashCode Returns an integer has code for this interaction regression parameter.
(Overrides ObjectGetHashCode)
Public methodSetParameterValues Set the linear regression paramater values.
(Inherited from LinearRegressionParameter)
Public methodSetRegression Sets the regression object and the parameter index for this regression parameter.
(Inherited from LinearRegressionParameter)
Public methodToString Construct a string representation of this parameters.
(Overrides LinearRegressionParameterToString)
Public methodTStatistic Returns the t-statistic for the null hypothesis that this parameter is equal to the given test value.
(Inherited from LinearRegressionParameter)
Public methodTStatisticCriticalValue Gets the critical value of the t-statistic for the specified alpha level.
(Inherited from LinearRegressionParameter)
Public methodTStatisticPValue 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
 NameDescription
Protected fieldbeta_ Beta field.
(Inherited from LinearRegressionParameter)
Protected fielddegreesOfFreedom_ Degrees of freedom field.
(Inherited from LinearRegressionParameter)
Protected fieldmodelVariance_ Model variance field.
(Inherited from LinearRegressionParameter)
Protected fieldparameterValue_ Parameter value field.
(Inherited from LinearRegressionParameter)
Protected fieldparameterVariance_ Parameter variance field.
(Inherited from LinearRegressionParameter)
Protected fieldparamIndex_ Parameter index field.
(Inherited from LinearRegressionParameter)
Protected fieldsumOfSquares_ Sum of squares.
(Inherited from AnovaRegressionParameter)
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Remarks
Instances of class AnovaRegressionInteractionParam are returned by properties and member functions on class TwoWayAnova. They cannot be constructed independently.
See Also