Anova |
The AnovaRegressionFactorParam type exposes the following members.
Name | Description | |
---|---|---|
AnovaRegressionFactorParam | Used by Clone method. | |
AnovaRegressionFactorParam(Int32, String, Object, Double) | Construct an ANOVA regression factor parameter object from the given ANOVA regression and factor information. | |
AnovaRegressionFactorParam(LinearRegression, Int32, Double, String, Object, Double) | Construct an ANOVA regression factor parameter object from the given ANOVA regression and factor information. | |
AnovaRegressionFactorParam(String, Object, Int32, Double, Double, Double, Int32, Double) | Construct an Anova factor regression paramater object with the given values. |
Name | Description | |
---|---|---|
Beta |
Gets the standardized beta coefficient.
(Inherited from LinearRegressionParameter) | |
Encoding | Gets the encoding for this dummy variable. | |
FactorLevel | Gets the level of the ANOVA factor encoded by this dummy variable. | |
FactorName | Gets the name of the ANOVA factor encoded by this dummy variable. | |
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.
(Inherited from AnovaRegressionParameter) | |
Value |
Gets the value of this parameter.
(Inherited from LinearRegressionParameter) |
Name | Description | |
---|---|---|
Clone | Creates a deep copy of this AnovaRegressionFactorParam. | |
ConfidenceInterval |
Returns the 1 - alpha confidence interval for this parameter.
(Inherited from LinearRegressionParameter) | |
Equals |
Tests for equality of this factor regression parameter and another
factor regression parameter.
(Overrides ObjectEquals(Object)) | |
GetHashCode |
Returns an integer hash code for this factor regression parameter.
(Overrides ObjectGetHashCode) | |
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 |
Construct a string representation of this parameter.
(Overrides LinearRegressionParameterToString) | |
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) |
Name | Description | |
---|---|---|
beta_ |
Beta field.
(Inherited from LinearRegressionParameter) | |
degreesOfFreedom_ |
Degrees of freedom field.
(Inherited from LinearRegressionParameter) | |
encoding_ | The value of the variable encoding for this level of this factor. | |
factorLevel_ | Regression parameter is a dummy variable for this level. | |
factorName_ | Regresssion parameter is a dummy variable for this factor. | |
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.
(Inherited from AnovaRegressionParameter) |