6.3.6.2.3. statsmodels.sandbox.distributions.gof_new.bootstrap

statsmodels.sandbox.distributions.gof_new.bootstrap(distr, args=(), nobs=200, nrep=100, value=None, batch_size=None)

Monte Carlo (or parametric bootstrap) p-values for gof

currently hardcoded for A^2 only

assumes vectorized fit_vec method, builds and analyses (nobs, nrep) sample in one step

rename function to less generic

this works also with nrep=1