Evaluation of intervalar estimation methods for binomial linear functions through infinity bootstrap

This work aimed to evaluate confidence intervals of different linear functions of binomial proportions base on Wald and Wald's adjusted method using the infinity bootstrap technique. Several sample sizes (n i), binomial parameters (p) and number of coefficients of the linear functions were considered. One concluded through the probabilities of binomial population confidence covered intervals that the bootstrap generalization of adjusted Wald's method was efficient for linear functions whose coefficients indicated a comparison of versus the others proportion (p=0.2) considering different sample sizes.

Covered probabilities; confidence intervals; Wald