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Probability in the Engineering and Informational Sciences

Published/Hosted by Cambridge University Press. ISSN: 0269-9648.

The primary focus of the journal is on stochastic modelling in the physical and engineering sciences with particular emphasis on queueing theory reliability theory inventory theory simulation stochastic control theory and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered as well as more general papers on applied and computational probability if appropriate. Readers include academics working in statistics operations research computer science engineering management science and physical sciences as well as industrial practitioners engaged in telecommunications computer science engineering operations research and management science.

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