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Teoriya Veroyatnostei i ee Primeneniya, 1956, Volume 1, Issue 1, Pages 146–149
(Mi tvp4992)
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This article is cited in 3 scientific papers (total in 3 papers)
Short Communications
Stochastic processes whose sample functions are distributions
K. Urbanik Wroclaw
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
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
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https://www.mathnet.ru/eng/tvp4992 https://www.mathnet.ru/eng/tvp/v1/i1/p146
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