Bootstrapping logistic regression models with random regressors

Abstract

The logistic regression models with random regressors case are considered for bootstrapping. It is shown that the bootstrap approximation to the distribution of the maximum likelihood estimators is valid for almost all sample sequences. A slight extension of this model is also considered.

Keywords:

• logistic regression
• bootstrap
• operating family
• approximating family
• Kullback-leibler divergence