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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

Namespace:  CenterSpace.NMath.Core
Assembly:  NMath (in NMath.dll) Version: 7.3
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