Multivariate extensions of probability theory's limit theorems: An eventological view

Описание

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Год издания: 2010

Ключевые слова: Event, Limit theorem, Multivariate discrete distribution, Discrete distribution, IT structures, Probabilistic interpretation, Probability theory, Automation, Information technology, Probability distributions

Аннотация: Eventologically multivariate extensions of probability theory's limit theorems are proposed. Eventologically multivariate version of limit theorems extends its classical probabilistic interpretation and involves into it structure of dependencies of arbitrary set of events which appears in sequence of independent tests.

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Издание

Журнал: Proceedings of the IASTED International Conference on Automation, Control, and Information Technology - Control, Diagnostics, and Automation, ACIT-CDA 2010

Номера страниц: 323-327

Персоны

  • Vorobyev O.Y. (Institute of Mathematics,Krasnoyarsk State Trade Economics Institute,Siberian Federal University)
  • Golovkov L.S. (Krasnoyarsk State Trade Economics Institute)

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