statsmodels.discrete.discrete_model.Poisson.loglike¶

Poisson.loglike(params)[source]¶

Loglikelihood of Poisson model

Parameters:¶

paramsarray_like

The parameters of the model.

Returns:¶

loglikefloat

The log-likelihood function of the model evaluated at params. See notes.

Notes

$$\ln L=\sum _{i=1}^n[-{\lambda }_i+y_i{x}_i^{\prime }\beta -\ln y_i!]$$