Generalized
Returns the portion of the log-likelihood of the computed model that depends on the model parameters.
Definition
Namespace: Extreme.Statistics
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
C#
The log-likelihood of the model.
Assembly: Extreme.Numerics (in Extreme.Numerics.dll) Version: 8.1.23
public double GetKernelLogLikelihood()Return Value
DoubleThe log-likelihood of the model.
Remarks
The parameters of a generalized linear model are estimated using a maximum likelihood method. This method returns the logarithm of the portion of the likelihood function for the computed model that does not depend on the model parameters. A smaller value indicates a higher likelihood.
The kernel log likelihood may be positive.