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Teoriya Veroyatnostei i ee Primeneniya, 1967, Volume 12, Issue 1, Pages 141–143 (Mi tvp694)  

This article is cited in 20 scientific papers (total in 20 papers)

Short Communications

Remarks on Uncorrelated Gaussian Dependent Random Variables

O. V. Sarmanov

Moscow
Abstract: Formula (3) of the present paper gives a general example of two uncorrelated Gaussian dependent random variables with non-Gaussian joint distribution. In this formula $\varphi(x)$ is a bounded even real valued function defined on the real line such that $\frac1{\sqrt{2\pi}}\int_{-\infty}^\infty\varphi(x)e^{-x^2/2}\,dx=0$, $h$ is equal to $\sup_{-\infty<x<\infty}|\varphi(x)|$ and $-1\le\lambda\le1$.
Received: 28.08.1965
English version:
Theory of Probability and its Applications, 1967, Volume 12, Issue 1, Pages 124–126
DOI: https://doi.org/10.1137/1112015
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: O. V. Sarmanov, “Remarks on Uncorrelated Gaussian Dependent Random Variables”, Teor. Veroyatnost. i Primenen., 12:1 (1967), 141–143; Theory Probab. Appl., 12:1 (1967), 124–126
Citation in format AMSBIB
\Bibitem{Sar67}
\by O.~V.~Sarmanov
\paper Remarks on Uncorrelated Gaussian Dependent Random Variables
\jour Teor. Veroyatnost. i Primenen.
\yr 1967
\vol 12
\issue 1
\pages 141--143
\mathnet{http://mi.mathnet.ru/tvp694}
\mathscinet{http://mathscinet.ams.org/mathscinet-getitem?mr=212851}
\zmath{https://zbmath.org/?q=an:0173.20804}
\transl
\jour Theory Probab. Appl.
\yr 1967
\vol 12
\issue 1
\pages 124--126
\crossref{https://doi.org/10.1137/1112015}
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  • https://www.mathnet.ru/eng/tvp/v12/i1/p141
  • This publication is cited in the following 20 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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