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Teoriya Veroyatnostei i ee Primeneniya, 1970, Volume 15, Issue 1, Pages 124–132 (Mi tvp1607)  
Short Communications

On estimation of parameters of a Gaussian stochstic process

V. G. Alekseev

Moscow
Full-text PDF (532 kB)
Abstract: The paper generalizes the results of [2] concerning asymptotic efficiency conditions of the given in [1] statistical estimators of parameters of a Gaussian stationary stochastic process. A theorem is proved which enables, in some cases, to evaluate the moments of the estimators in question.
Received: 10.10.1968
English version:
Theory of Probability and its Applications, 1970, Volume 15, Issue 1, Pages 122–128
DOI: https://doi.org/10.1137/1115012
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. G. Alekseev, “On estimation of parameters of a Gaussian stochstic process”, Teor. Veroyatnost. i Primenen., 15:1 (1970), 124–132; Theory Probab. Appl., 15:1 (1970), 122–128
Citation in format AMSBIB
\Bibitem{Ale70}
\by V.~G.~Alekseev
\paper On estimation of parameters of a~Gaussian stochstic process
\jour Teor. Veroyatnost. i Primenen.
\yr 1970
\vol 15
\issue 1
\pages 124--132
\mathnet{http://mi.mathnet.ru/tvp1607}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=270523}
\zmath{https://zbmath.org/?q=an:0214.45603}
\transl
\jour Theory Probab. Appl.
\yr 1970
\vol 15
\issue 1
\pages 122--128
\crossref{https://doi.org/10.1137/1115012}
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    		Теория вероятностей и ее применения Theory of Probability and its Applications
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