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This article is cited in 2 scientific papers (total in 2 papers)
On asymptotics of the distributions of some two-step statistical estimators of a mutlidimensional parameter
Yu. Yu. Linkeab, A. I. Sakhanenkoba a Sobolev Institute of Mathematics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
We study the accuracy of estimation of unknown parameters in the case of two-step statistical estimates admitting special representations. An approach to the study of such problems previously proposed by the authors is extended to the case of the estimation of a multidimensional parameter. As a result, we obtain necessary and sufficient conditions for the weak convergence of the normalized estimation error to a multidimensional normal distribution.
Key words:
asymptotically normal estimator, improvement of statistical estimates, two-step estimator, multidimensional parameter, regression.
Received: 25.04.2012
Citation:
Yu. Yu. Linke, A. I. Sakhanenko, “On asymptotics of the distributions of some two-step statistical estimators of a mutlidimensional parameter”, Mat. Tr., 16:1 (2013), 89–120; Siberian Adv. Math., 24:2 (2014), 119–139
Linking options:
https://www.mathnet.ru/eng/mt251 https://www.mathnet.ru/eng/mt/v16/i1/p89
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Abstract page: | 320 | Full-text PDF : | 95 | References: | 51 | First page: | 4 |
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