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.

Related Organizations

Siberian Federal University
Russian Federation

Keywords

Event, probability, set of events, Bernoulli univariate test, Bernoulli multivariate test, eventological distribution, multivariate discrete distribution, limit theorem., jel: jel:C0

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