Geodesic
On asymptotic optimality of estimators of parameters under the LAQ condition
Teoriâ veroâtnostej i ee primeneniâ, Tome 40 (1995) no. 2, pp. 286-300 Cet article a éte moissonné depuis la source Math-Net.Ru

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In this paper we consider the problem of asymptotic optimality of estimators of parameters under the local asymptotic quadratic condition. It is shown that if the deviation of estimators from the true value is normed by a specially chosen random factor, then the so-called asymptotically centered estimators are asymptotically admissible for the quadratic loss function and have the smallest asymptotic variance among estimators with an asymptotically constant bias.
Keywords: local asymptotic quadratic property, local asymptotic normality, local asymptotic mixed normality, asymptotically centered estimators, Cramér–Rao inequality, Ornstein–Uhlenbeck process, autoregressive process, Galton–Watson branching process. 
@article{TVP_1995_40_2_a3,
     author = {A. A. Gushchin},
     title = {On asymptotic optimality of estimators of parameters under the {LAQ} condition},
     journal = {Teori\^a vero\^atnostej i ee primeneni\^a},
     pages = {286--300},
     year = {1995},
     volume = {40},
     number = {2},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/TVP_1995_40_2_a3/}
}
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A. A. Gushchin. On asymptotic optimality of estimators of parameters under the LAQ condition. Teoriâ veroâtnostej i ee primeneniâ, Tome 40 (1995) no. 2, pp. 286-300. http://geodesic.mathdoc.fr/item/TVP_1995_40_2_a3/