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AnovaRegressionFactorParam Class

Class AnovaRegressionFactorParam provides information about a regression parameter associated with a specific level of an ANOVA factor.
Inheritance Hierarchy

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

The AnovaRegressionFactorParam type exposes the following members.

Constructors
 NameDescription
Protected methodAnovaRegressionFactorParam Used by Clone method.
Public methodAnovaRegressionFactorParam(Int32, String, Object, Double) Construct an ANOVA regression factor parameter object from the given ANOVA regression and factor information.
Public methodAnovaRegressionFactorParam(LinearRegression, Int32, Double, String, Object, Double) Construct an ANOVA regression factor parameter object from the given ANOVA regression and factor information.
Public methodAnovaRegressionFactorParam(String, Object, Int32, Double, Double, Double, Int32, Double) Construct an Anova factor regression paramater object with the given values.
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Properties
 NameDescription
Public propertyBeta Gets the standardized beta coefficient.
(Inherited from LinearRegressionParameter)
Public propertyEncoding Gets the encoding for this dummy variable.
Public propertyFactorLevel Gets the level of the ANOVA factor encoded by this dummy variable.
Public propertyFactorName Gets the name of the ANOVA factor encoded by this dummy variable.
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 AnovaRegressionFactorParam.
Public methodConfidenceInterval Returns the 1 - alpha confidence interval for this parameter.
(Inherited from LinearRegressionParameter)
Public methodEquals Tests for equality of this factor regression parameter and another factor regression parameter.
(Overrides ObjectEquals(Object))
Public methodGetHashCode Returns an integer hash code for this factor 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 parameter.
(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 fieldencoding_ The value of the variable encoding for this level of this factor.
Protected fieldfactorLevel_ Regression parameter is a dummy variable for this level.
Protected fieldfactorName_ Regresssion parameter is a dummy variable for this factor.
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 AnovaRegressionFactorParam are returned by properties and member functions on class TwoWayAnova. They cannot be constructed independently.
See Also