Probit.score_obs(params)
[source]
Probit model Jacobian for each observation
Parameters: | params (array-like) – The parameters of the model |
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Returns: |
jac – The derivative of the loglikelihood for each observation evaluated at params . |
Return type: | array-like |
for observations \(i=1,...,n\)
Where \(q=2y-1\). This simplification comes from the fact that the normal distribution is symmetric.
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© 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.Probit.score_obs.html