Click or drag to resize

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.
Top
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.)
Top
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.)
Top
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.)
Top
Remarks
Instances of class AnovaRegressionFactorParam are returned by properties and member functions on class TwoWayAnova. They cannot be constructed independently.
See Also