Advances in Applied Probability
Material type:
E-journalAnalytics: Show analyticsPublisher: Cambridge : Cambridge University Press, 1969-Description: 1 recurso en línea.ISSN: 1475-6064 (edición electrónica); 0001-8678 (edición impresa).Subject: Probabilidades -- Publicaciones periódicas
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Summary: The Advances in Applied Probability has been published by the Applied Probability Trust for over four decades, and is a companion publication to the Journal of Applied Probability. It contains mathematical and scientific papers of interest to applied probabilists, with emphasis on applications in a broad spectrum of disciplines, including the biosciences, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. Cambridge University PressHoldings: | Vol 37 (2005)- |
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA273 .A1 ES (Browse shelf(Opens below)) | Acceso electrónico | eREVISTA.30082023 |
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| QA273 .A1 ES Probability Theory and Related Fields | QA273 .A1 ES Methodology and Computing in Applied Probability | QA273.A1 ES Journal of the Indian Society for Probability and Statistics | QA273 .A1 ES Advances in Applied Probability | QA273 .G673 2018 EB Randomness and Hyper-randomness | QA273 .M57 2008 EB The Drunkard's walk : how randomness rules our lives | QA273 .O36 2016 EB Probability Logics : Probability-Based Formalization of Uncertain Reasoning |
The Advances in Applied Probability has been published by the Applied Probability Trust for over four decades, and is a companion publication to the Journal of Applied Probability. It contains mathematical and scientific papers of interest to applied probabilists, with emphasis on applications in a broad spectrum of disciplines, including the biosciences, operations research, telecommunications, computer science, engineering, epidemiology, financial mathematics, the physical and social sciences, and any field where stochastic modeling is used. Cambridge University Press
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