Stochastic Processes

Theory and Applications

Description

The aim of this special issue is to publish original research papers that cover recent advances in the theory and application of stochastic processes. There is especial focus on applications of stochastic processes as models of dynamic phenomena in various research areas, such as queuing theory, physics, biology, economics, medicine, reliability theory, and financial mathematics. Potential topics include, but are not limited to: Markov chains and processes; large deviations and limit theorems; random motions; stochastic biological model; reliability, availability, maintenance, inspection; queueing models; queueing network models; computational methods for stochastic models; applications to risk theory, insurance and mathematical finance.
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Writer
Zeifman, Alexander
Title
Stochastic Processes
Publisher
Mdpi AG
Year
2019
Language
English
Pages
216
EAN
9783039219629
Binding format
Paperback

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Categories

Boekstra