Anova |
The AnovaRegressionSubjectParam type exposes the following members.
Name | Description | |
---|---|---|
Beta |
Gets the standardized beta coefficient.
(Inherited from LinearRegressionParameter) | |
Encoding |
Gets the encoding for this dummy variable.
(Inherited from AnovaRegressionFactorParam) | |
FactorLevel |
Gets the level of the ANOVA factor encoded by this dummy variable.
(Inherited from AnovaRegressionFactorParam) | |
FactorName |
Gets the name of the ANOVA factor encoded by this dummy variable.
(Inherited from AnovaRegressionFactorParam) | |
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) | |
SubjectNumber | Gets the subject number for the regression subject dummy variable. Subject numbering starts at zero. | |
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 AnovaRegressionSubjectParam. | |
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 AnovaRegressionFactorParamEquals(Object)) | |
GetHashCode |
Returns an integer hash code for this factor regression parameter.
(Overrides AnovaRegressionFactorParamGetHashCode) | |
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 |
The regression parameter statistics as a string.
(Overrides AnovaRegressionFactorParamToString) | |
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.
(Inherited from AnovaRegressionFactorParam) | |
factorLevel_ |
Regression parameter is a dummy variable for this level.
(Inherited from AnovaRegressionFactorParam) | |
factorName_ |
Regresssion parameter is a dummy variable for this factor.
(Inherited from AnovaRegressionFactorParam) | |
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) |