statsmodels.discrete.discrete_model.Probit.loglikeobs

Probit.loglikeobs(params) [source]

Log-likelihood of probit model for each observation

Parameters:	params (array-like) – The parameters of the model.
Returns:	loglike – The log likelihood for each observation of the model evaluated at params. See Notes
Return type:	array-like

Notes

\[\ln L_{i}=\ln\Phi\left(q_{i}x_{i}^{\prime}\beta\right)\]

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

where \(q=2y-1\). This simplification comes from the fact that the normal distribution is symmetric.