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Sibirskii Matematicheskii Zhurnal, 2011, Volume 52, Number 4, Pages 841–860
(Mi smj2243)
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This article is cited in 5 scientific papers (total in 5 papers)
On the asymptotics of distributions of two-step statistical estimates
Yu. Yu. Linkeab a Sobolev Institute of Mathematics, Novosibirsk, Russia
b Novosibirsk State University, Novosibirsk, Russia
Abstract:
We study the two-step statistical estimates that admit certain expressions of a sufficiently general form. These constructions arise in various statistical models, for instance in regression problems. Under rather weak restrictions we find necessary and sufficient conditions for the normalized difference of a two-step estimate and the unknown parameter to converge weakly to an arbitrary distribution.
Keywords:
two-step estimates, parametric estimation, approximating distributions, triangular array, regression.
Received: 01.10.2010 Revised: 27.04.2011
Citation:
Yu. Yu. Linke, “On the asymptotics of distributions of two-step statistical estimates”, Sibirsk. Mat. Zh., 52:4 (2011), 841–860; Siberian Math. J., 52:4 (2011), 665–681
Linking options:
https://www.mathnet.ru/eng/smj2243 https://www.mathnet.ru/eng/smj/v52/i4/p841
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