Anova |
The AnovaRegressionInteractionParam type exposes the following members.
Name | Description | |
---|---|---|
Beta |
Gets the standardized beta coefficient.
(Inherited from LinearRegressionParameter) | |
FactorALevel | Gets the level of the first factor in the interaction. | |
FactorAName | Gets the name of the first factor in the interaction. | |
FactorBLevel | Gets the level of the second factor in the interaction. | |
FactorBName | Gets the name of the second factor in the interaction. | |
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 AnovaRegressionInteractionParam. | |
ConfidenceInterval |
Returns the 1 - alpha confidence interval for this parameter.
(Inherited from LinearRegressionParameter) | |
Equals |
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)) | |
GetHashCode |
Returns an integer has code for this interaction 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 parameters.
(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) | |
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) |