# statsmodels.discrete.discrete_model.GeneralizedPoisson.loglikeobs¶

GeneralizedPoisson.loglikeobs(params)[source]

Loglikelihood for observations of Generalized Poisson model

Parameters: params (array-like) – The parameters of the model. loglike – The log likelihood for each observation of the model evaluated at params. See Notes ndarray

Notes

$\ln L=\sum_{i=1}^{n}\left[\mu_{i}+(y_{i}-1)*ln(\mu_{i}+ \alpha*\mu_{i}^{p-1}*y_{i})-y_{i}*ln(1+\alpha*\mu_{i}^{p-1})- ln(y_{i}!)-\frac{\mu_{i}+\alpha*\mu_{i}^{p-1}*y_{i}}{1+\alpha* \mu_{i}^{p-1}}\right]$

for observations $$i=1,...,n$$