statsmodels.discrete.discrete_model.Poisson.score_factor

Poisson.score_factor(params)[source]

Poisson model score_factor for each observation

Parameters:params (array-like) – The parameters of the model
Returns:score – The score factor (nobs, ) of the model evaluated at params
Return type:array-like

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

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