Abstract
Under suitable regularity conditions, it is shown that a third order asymptotically efficient estimator is fourth order asymptotically efficient in some class of estimators in the sense that the estimator has the most concentration probability in any symmetric interval around the true parameter up to the fourth order in the class. This is a resolution of the conjecture by Ghosh (1994, Higher Order Asymptotics, Institute of Mathematical Statistics, Hayward, California). It is also shown that the bias-adjusted maximum likelihood estimator is fourth order asymptotically efficient in the class.
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Akahira, M. Third order efficiency implies fourth order efficiency: A resolution of the conjecture of J. K. Ghosh. Ann Inst Stat Math 48, 365–380 (1996). https://doi.org/10.1007/BF00054796
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DOI: https://doi.org/10.1007/BF00054796