Abstract
When a deterministic description of a system is impossible, one can still use a statistical description based on the probabilities of observing particular outcomes. In the simplest case, only the probabilities of single random events are considered. However, in studies of dynamical phenomena it is often necessary to know the probabilities of entire sequences of random events that are not independent of one another. This description can be constructed within the mathematical theory of random processes.
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© 1996 Springer-Verlag Berlin Heidelberg
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Mikhailov, A.S., Loskutov, A.Y. (1996). Random Processes. In: Foundations of Synergetics II. Springer Series in Synergetics, vol 52. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-80196-9_8
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DOI: https://doi.org/10.1007/978-3-642-80196-9_8
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