Eventologically multivariate extensions of probability theory’s limit theorems

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 its structure of dependencies of arbitrary set of events which appears in sequence of independent tests.

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Year of publication:	2009-04-23
Authors:	Vorobyev, Oleg Yu. ; Golovkov, Lavrentyi S.
Institutions:	Volkswirtschaftliche Fakultät, Ludwig-Maximilians-Universität München
Subject:	Event \| probability \| set of events \| Bernoulli univariate test \| Bernoulli multivariate test \| eventological distribution \| multivariate discrete distribution \| limit theorem

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Extent:	application/pdf
Series:	MPRA Paper.
Type of publication:	Book / Working Paper
Classification:	C0 - Mathematical and Quantitative Methods. General
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008468137