Journal Details
Stochastic Models
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An affiliated publication of the Institute for Operations Research and the Management Sciences Visit the organisation site
Published By: Taylor & Francis
Volume Number: 27
Frequency: 4 issues per year
Print ISSN: 1532-6349
Online ISSN: 1532-4214
Aims & Scope
2010 Impact Factor: 0.449
Ranking: 95/110 Statistics & Probability
2010 5-Year Impact Factor: 0.743
© 2011 Thomson Reuters, 2010 Journal Citation Reports®
Stochastic Models is devoted to the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences and technology. It presents contributions on the mathematical methodology, from structural, analytical, and algorithmic to experimental approaches. It offers an interdisciplinary presentation on the uses of probability theory and discusses practical applications of stochastic models to diverse areas such as biology, computer science/telecommunications modeling, inventories and dams, reliability, storage, queuing theory, and operations research.
Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.
Ranking: 95/110 Statistics & Probability
2010 5-Year Impact Factor: 0.743
© 2011 Thomson Reuters, 2010 Journal Citation Reports®
Stochastic Models is devoted to the theory and applications of probability as they arise in the modeling of phenomena in the natural sciences and technology. It presents contributions on the mathematical methodology, from structural, analytical, and algorithmic to experimental approaches. It offers an interdisciplinary presentation on the uses of probability theory and discusses practical applications of stochastic models to diverse areas such as biology, computer science/telecommunications modeling, inventories and dams, reliability, storage, queuing theory, and operations research.
Publication office: Taylor & Francis, Inc., 325 Chestnut Street, Suite 800, Philadelphia, PA 19106.
