Bootstrap-based improved estimators for the two-parameter Birnbaum–Saunders distribution

n this paper, we consider the two-parameter Birnbaum-Saunders distribution which is commonly used for modeling the lifetime of materials and equipments. We consider different strategies of bias correction of the maximum likelihood estimators for the parameters that index the distribution via bootstrap (parametric and nonparametric). The numerical evidence favors a particular bootstrap estimator based on parametric resampling. Finally, an example with real data is presented and discussed.