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We give expansions in inverse powers of the sample size  n  for the mean of any smooth function of a  standard estimator  of an unknown parameter in any dimension. When the distribution of the estimator is determined by the parameter, we give estimates of the smooth function of biasThe performance of the estimators is illustrated by simulations and four real data sets.

Bias reduction for standard and extreme estimates