1.2.13.1.17. statsmodels.api.Poisson.score_obs¶
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Poisson.
score_obs
(params)[source]¶ Poisson model Jacobian of the log-likelihood for each observation
Parameters: params : array-like
The parameters of the model
Returns: score : ndarray (nobs, k_vars)
The score vector of the model evaluated at params
Notes
\[\frac{\partial\ln L_{i}}{\partial\beta}=\left(y_{i}-\lambda_{i}\right)x_{i}\]for observations \(i=1,...,n\)
where the loglinear model is assumed
\[\ln\lambda_{i}=x_{i}\beta\]