Minimum variance unbiased estimation based on bootstrap iterations

摘要

Practical computation of the minimum variance unbiased estimator (MVUE) is often a difficult, if not impossible, task, even though general statistical theory assures its existence under regularity conditions. We propose a new approach, based on infinitely many iterations of bootstrap bias correction, to calculating the MVUE approximately. A numerical example is given to illustrate the effectiveness of our new approach.