Asymptotic Comparison of MLE and UMVUE in the Case of a Truncated One-Parameter Family of Distributions

The paper focuses on the asymptotic comparison of maximum likelihood estimators and uniformly minimum variance unbiased (with respect to quadratic loss) for one-parameter truncation families where a sufficient statistic is either or sample. Easily verifiable conditions are formulated under which those results valid.