Summary In this paper it is shown that the bias‐adjusted maximum likelihood estimator (MLE) is asymptotically equivalent to the jackknife estimator in the variance up to the order n ‐1 and the asymptotic deficiency of the jackknife estimator relative to the bias‐adjusted MLE is equal to zero.
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Masafumi Akahira (1983) studied this question.
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