![]() | Linear |
The LinearRegressionParameter type exposes the following members.
Name | Description | |
---|---|---|
![]() | LinearRegressionParameter | Used by Clone method. |
![]() | LinearRegressionParameter(LinearRegression, Int32) | Construct a LinearRegressionParameter instance for the parameter at the given index in the given LinearRegression. |
![]() | LinearRegressionParameter(Int32, Double, Double, Double, Int32, Double) | Construct a LinearRegressionParameter with the values. |
Name | Description | |
---|---|---|
![]() | Beta | Gets the standardized beta coefficient. |
![]() | ParameterIndex | Gets the index of this parameter in the linear regresssion. |
![]() | StandardError | Gets the standard error of this parameter. |
![]() | Value | Gets the value of this parameter. |
Name | Description | |
---|---|---|
![]() | Clone | Creates a deep copy of this LinearRegressionParameter. |
![]() | ConfidenceInterval | Returns the 1 - alpha confidence interval for this parameter. |
![]() | SetParameterValues | Set the linear regression paramater values. |
![]() | SetRegression | Sets the regression object and the parameter index for this regression parameter. |
![]() | ToString |
Returns a formatted string representation of this parameter.
(Overrides ObjectToString) |
![]() | TStatistic | Returns the t-statistic for the null hypothesis that this parameter is equal to the given test value. |
![]() | TStatisticCriticalValue | Gets the critical value of the t-statistic for the specified alpha level. |
![]() | 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. |
Name | Description | |
---|---|---|
![]() | beta_ | Beta field. |
![]() | degreesOfFreedom_ | Degrees of freedom field. |
![]() | modelVariance_ | Model variance field. |
![]() | parameterValue_ | Parameter value field. |
![]() | parameterVariance_ | Parameter variance field. |
![]() | paramIndex_ | Parameter index field. |