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Teoriya Veroyatnostei i ee Primeneniya, 1978, Volume 23, Issue 4, Pages 836–842 (Mi tvp3119)  
This article is cited in 1 scientific paper (total in 1 paper)

Short Communications

The minimax and the uniformly best estimates under quadratic loss on the base of the finite statistical structure

P. N. Sapožnikov

Perm'
Full-text PDF (545 kB) Citations (1)
Abstract: The method of constructing of the minimax unbiased estimates and the structure of optimal algebras for the finite sample space are considered. These results are applied to the investigation of binomial structures.
Received: 13.06.1975
English version:
Theory of Probability and its Applications, 1979, Volume 23, Issue 4, Pages 805–811
DOI: https://doi.org/10.1137/1123098
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: P. N. Sapožnikov, “The minimax and the uniformly best estimates under quadratic loss on the base of the finite statistical structure”, Teor. Veroyatnost. i Primenen., 23:4 (1978), 836–842; Theory Probab. Appl., 23:4 (1979), 805–811
Citation in format AMSBIB
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\by P.~N.~Sapo{\v z}nikov
\paper The minimax and the uniformly best estimates under quadratic loss on the base of the finite statistical structure
\jour Teor. Veroyatnost. i Primenen.
\yr 1978
\vol 23
\issue 4
\pages 836--842
\mathnet{http://mi.mathnet.ru/tvp3119}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=516282}
\zmath{https://zbmath.org/?q=an:0447.62038|0407.62016}
\transl
\jour Theory Probab. Appl.
\yr 1979
\vol 23
\issue 4
\pages 805--811
\crossref{https://doi.org/10.1137/1123098}
\isi{https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=Publons&SrcAuth=Publons_CEL&DestLinkType=FullRecord&DestApp=WOS_CPL&KeyUT=A1978JA77700014}
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  • https://www.mathnet.ru/eng/tvp/v23/i4/p836
    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Теория вероятностей и ее применения Theory of Probability and its Applications
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