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Teoriya Veroyatnostei i ee Primeneniya, 1956, Volume 1, Issue 1, Pages 146–149 (Mi tvp4992)  
This article is cited in 3 scientific papers (total in 3 papers)

Short Communications

Stochastic processes whose sample functions are distributions

K. Urbanik

Wroclaw
Full-text PDF (562 kB) Citations (3)
Abstract: A way of constructing generalized random processes is given which is analogous to Mikusinski's method for defining distributions. The subject of this note is generalized stochastic processes with independent values or independent increments and stationary processes.
Received: 10.02.1956
English version:
Theory of Probability and its Applications, 1956, Volume 1, Issue 1, Pages 132–134
DOI: https://doi.org/10.1137/1101011
Document Type: Article
Language: Russian
Citation: K. Urbanik, “Stochastic processes whose sample functions are distributions”, Teor. Veroyatnost. i Primenen., 1:1 (1956), 146–149; Theory Probab. Appl., 1:1 (1956), 132–134
Citation in format AMSBIB
\Bibitem{Urb56}
\by K.~Urbanik
\paper Stochastic processes whose sample functions are distributions
\jour Teor. Veroyatnost. i Primenen.
\yr 1956
\vol 1
\issue 1
\pages 146--149
\mathnet{http://mi.mathnet.ru/tvp4992}
\transl
\jour Theory Probab. Appl.
\yr 1956
\vol 1
\issue 1
\pages 132--134
\crossref{https://doi.org/10.1137/1101011}
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  • https://www.mathnet.ru/eng/tvp/v1/i1/p146
    • This publication is cited in the following 3 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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