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Applied probability : from random sequences to stochastic processes

By: Girardin, ValérieContributor(s): Limnios, NikolaosMaterial type: TextTextPublication details: Cham, Switzerland : Springer, 2018. Description: xiii, 260 pages : 29 b/w illustrations, 1 illustrations in colourISBN: 9783030073527Subject(s): Engineering mathematics | Epidemiology | Mathematical statistics | Probabilities | Statistics | Probability theory and stochastic processes | Random sequences | Stochastic topology | Semi-Markov processesDDC classification: 519.2 Online resources: Table of contents | Reviews Summary: This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of examples and exercises with solutions.
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519.2 GIR-A (Browse shelf(Opens below)) Available 26019

Includes bibliographical references and index.

This textbook addresses postgraduate students in applied mathematics, probability, and statistics, as well as computer scientists, biologists, physicists and economists, who are seeking a rigorous introduction to applied stochastic processes. Pursuing a pedagogic approach, the content follows a path of increasing complexity, from the simplest random sequences to the advanced stochastic processes. Illustrations are provided from many applied fields, together with connections to ergodic theory, information theory, reliability and insurance. The main content is also complemented by a wealth of examples and exercises with solutions.

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