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Teoriya Veroyatnostei i ee Primeneniya, 2017, Volume 62, Issue 2, Pages 415–420
DOI: https://doi.org/10.4213/tvp5114
(Mi tvp5114)
 

This article is cited in 6 scientific papers (total in 6 papers)

Short Communications

Characterizations of probability distributions through $Q$-independence

B. L. S. Prakasa Rao

CR Rao Advanced Institute of Mathematics, Statistics and Computer Science, Hyderabad, India
Full-text PDF (296 kB) Citations (6)
References:
Abstract: We derive some characterizations of probability distributions for linear forms of $Q$-independent random variables.
Keywords: $Q$-independence, linear forms, characterization of probability distributions.
Received: 07.01.2016
Revised: 14.06.2016
Accepted: 20.02.2017
English version:
Theory of Probability and its Applications, 2018, Volume 62, Issue 2, Pages 335–338
DOI: https://doi.org/10.1137/S0040585X97T988642
Bibliographic databases:
Document Type: Article
Language: English
Citation: B. L. S. Prakasa Rao, “Characterizations of probability distributions through $Q$-independence”, Teor. Veroyatnost. i Primenen., 62:2 (2017), 415–420; Theory Probab. Appl., 62:2 (2018), 335–338
Citation in format AMSBIB
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\transl
\jour Theory Probab. Appl.
\yr 2018
\vol 62
\issue 2
\pages 335--338
\crossref{https://doi.org/10.1137/S0040585X97T988642}
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  • https://www.mathnet.ru/eng/tvp5114
  • https://doi.org/10.4213/tvp5114
  • https://www.mathnet.ru/eng/tvp/v62/i2/p415
  • This publication is cited in the following 6 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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    Abstract page:368
    Full-text PDF :80
    References:56
    First page:33
     
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