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Teoriya Veroyatnostei i ee Primeneniya, 1976, Volume 21, Issue 2, Pages 435–441 (Mi tvp3387)  
This article is cited in 1 scientific paper (total in 1 paper)

Short Communications

On the choice of estimation technique for regression experimental designs unbiased in $L_2$-metric

E. V. Sedunov

Leningrad
Full-text PDF (424 kB) Citations (1)
Abstract: The paper deals with regression experimental designs unbiased in the $L_2$-metric. Consideration is concentrated upon the choice of estimation technique for design procedures. It is shown that the procedure using the reproducing kernel method dominates the least-squares procedure. In particular, results for polynominal and trigonometric regressions are derived. Numerical examples are given.
Received: 07.10.1974
English version:
Theory of Probability and its Applications, 1977, Volume 21, Issue 2, Pages 423–430
DOI: https://doi.org/10.1137/1121053
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: E. V. Sedunov, “On the choice of estimation technique for regression experimental designs unbiased in $L_2$-metric”, Teor. Veroyatnost. i Primenen., 21:2 (1976), 435–441; Theory Probab. Appl., 21:2 (1977), 423–430
Citation in format AMSBIB
\Bibitem{Sed76}
\by E.~V.~Sedunov
\paper On the choice of estimation technique for regression experimental designs unbiased in $L_2$-metric
\jour Teor. Veroyatnost. i Primenen.
\yr 1976
\vol 21
\issue 2
\pages 435--441
\mathnet{http://mi.mathnet.ru/tvp3387}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=415914}
\zmath{https://zbmath.org/?q=an:0373.62044}
\transl
\jour Theory Probab. Appl.
\yr 1977
\vol 21
\issue 2
\pages 423--430
\crossref{https://doi.org/10.1137/1121053}
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  • https://www.mathnet.ru/eng/tvp/v21/i2/p435
    • 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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