The AnovaRegressionParameter type exposes the following members.
Methods
| Name | Description | |
|---|---|---|
 | Clone |
Creates a deep copy of this AnovaRegressionParameter.
|
| ConfidenceInterval |
Returns the 1 - alpha confidence interval for this parameter.
(Inherited from LinearRegressionParameter.) |
| Equals | (Inherited from Object.) |
| GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) |
| GetType |
Gets the Type of the current instance.
(Inherited from Object.) |
| SetRegression |
Sets the regression object and the parameter index for this
regression parameter.
(Inherited from LinearRegressionParameter.) |
| ToString |
Returns a formatted string representation of this parameter.
(Inherited from LinearRegressionParameter.) |
| 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.) |
Properties
| Name | Description | |
|---|---|---|
 | Beta |
Gets the standardized beta coefficient.
(Inherited from LinearRegressionParameter.) |
| 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.
|
| Value |
Gets the value of this parameter.
(Inherited from LinearRegressionParameter.) |
