On Bias Reduction in Estimation

摘要: Abstract A general procedure for reducing the bias of point estimators is introduced. The technique includes “jackknife” as a special case. existing notion reapplication shown to lack desirable removal property which it was originally designed. Proper proposed conform higher order elimination and an interesting algorithm correct method defined. Illustrative examples are drawn from ratio estimation, reliability truncated distributions. reduced mean square error attracted some attention jackknife present in generalization applications.