statsmodels.discrete.discrete_model.Poisson.score_factor¶

Poisson.score_factor(params)[source]¶

Poisson model score_factor for each observation

Parameters:¶

paramsarray_like

The parameters of the model

Returns:¶

scorearray_like

The score factor (nobs, ) of the model evaluated at params

Notes

\[\frac{\partial\ln L_{i}}{\partial\beta}=\left(y_{i}-\lambda_{i}\right)\]

for observations \(i=1,...,n\)

where the loglinear model is assumed

\[\ln\lambda_{i}=x_{i}\beta\]