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statsmodels.discrete.discrete_model.Poisson.score_obs

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 – The score vector (nobs, k_vars) of the model evaluated at params
Return type: array-like

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

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

© 2009–2012 Statsmodels Developers
© 2006–2008 Scipy Developers
© 2006 Jonathan E. Taylor
Licensed under the 3-clause BSD License.
http://www.statsmodels.org/stable/generated/statsmodels.discrete.discrete_model.Poisson.score_obs.html