The GoodnessOfFit type exposes the following members.
Constructors
| Name | Description | |
|---|---|---|
 | GoodnessOfFit | Overloaded. |
Methods
| Name | Description | |
|---|---|---|
| Clone |
Creates a deep copy of this GoodnessOfFit.
|
| Equals | (Inherited from Object.) |
| FStatisticCriticalValue |
Computes the critical value for the F-statistic at the given
signicance level.
|
 | GetGoodnessOfFit<(Of <(M>)>) |
Constructs a GoodnessOfFit instance from the given OneVariableFunctionFitter.
|
| GetHashCode |
Serves as a hash function for a particular type.
(Inherited from Object.) |
| GetType |
Gets the Type of the current instance.
(Inherited from Object.) |
| ToString |
String representation of a GoodnessOfFit object.
(Overrides Object..::.ToString()()().) |
Properties
| Name | Description | |
|---|---|---|
 | AdjustedRsquared |
Gets the adjusted coefficient of determination.
|
| ErrorDegreesOfFreedom |
Gets the number of degrees of freedom for the model error.
|
| FStatistic |
Gets the overall F-statistic for the model.
|
| FStatisticPValue |
Gets the p-value for the F-statistic.
|
| MeanSquaredRegression |
Gets the mean squared for the regression.
|
| MeanSquaredResidual |
Gets the mean squared residual.
|
| ModelDegreesOfFreedom |
Gets the number of degrees of freedom for the model.
|
| Parameters |
Gets an array of parameter objects which may be used to perform hypothesis tests on
individual parameters in the model.
|
| RegressionSumOfSquares |
Gets the regression sum of squares.
|
| ResidualStandardError |
Gets the residual standard error.
|
| ResidualSumOfSquares |
Gets the residual sum of squares.
|
| RSquared |
Gets the coefficient of determination.
|
