Logistic
Definition
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
Overload List
| Get | Returns a test to verify the significance of the logistic model. |
| Get | Returns a test to verify the significance of the logistic model. |
LogisticRegressionModel.GetLikelihoodRatioTest
public SimpleHypothesisTest GetLikelihoodRatioTest()Return Value
SimpleHypothesisTestA SimpleHypothesisTest object.
Remarks
This method compares the computed logistical model against a model that contains only a constant. The ratio of the log-likelihoods of the two models follows a chi-square distribution with degrees of freedom equal to the number of additional parameters.
The model must have been computed using the Fit() method before this method is called.
For nominal logistic regression, this method compares the model against a model that contains only a constant for each level other than the reference level.
Exceptions
| InvalidOperationException | The model has not been fitted. |
LogisticRegressionModel.GetLikelihoodRatioTest(LogisticRegressionModel)
public SimpleHypothesisTest GetLikelihoodRatioTest(
LogisticRegressionModel nestedModel
)Parameters
- nestedModel LogisticRegressionModel
- A LogisticRegressionModel that is a reduced model of the current instance.
Return Value
SimpleHypothesisTestA SimpleHypothesisTest object.
Remarks
This method compares the computed logistical model against a nested model. The ratio of the log-likelihoods of the two models follows a chi-square distribution with degrees of freedom equal to the number of additional parameters.
Both models must have been computed using the Fit() method before this method is called.
Exceptions
| ArgumentNullException | nestedModel is null. |
| InvalidOperationException |
Not all variables in nestedModel are present in the current model.
-or- The model has not been fitted. -or- The nested model has not been computed. |