# statsmodels.base.model.ResultMixin¶

class statsmodels.base.model.ResultMixin[source]
Attributes
aic

Akaike information criterion

bic

Bayesian information criterion

bsejac

standard deviation of parameter estimates based on covjac

bsejhj

standard deviation of parameter estimates based on covHJH

covjac

covariance of parameters based on outer product of jacobian of log-likelihood

covjhj

covariance of parameters based on HJJH

dot product of Hessian, Jacobian, Jacobian, Hessian of likelihood

name should be covhjh

df_modelwc

Model WC

hessv

cached Hessian of log-likelihood

score_obsv

cached Jacobian of log-likelihood

Methods

 bootstrap([nrep, method, disp, store]) simple bootstrap to get mean and variance of estimator get_nlfun(fun) This is not Implemented

Methods

 bootstrap([nrep, method, disp, store]) simple bootstrap to get mean and variance of estimator get_nlfun(fun) This is not Implemented

Properties

 aic Akaike information criterion bic Bayesian information criterion bsejac standard deviation of parameter estimates based on covjac bsejhj standard deviation of parameter estimates based on covHJH covjac covariance of parameters based on outer product of jacobian of log-likelihood covjhj covariance of parameters based on HJJH df_modelwc Model WC hessv cached Hessian of log-likelihood score_obsv cached Jacobian of log-likelihood