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Adventures in stochastic processes

Author: Sidney I Resnick
Publisher: Boston : Birkhäuser, [1992] ©1992
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. In a lively and imaginative presentation, studded with examples, exercises, and applications, and supported by inclusion of computational procedures, the author has created a textbook that provides easy access to this fundamental topic for many students of applied sciences at many  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Resnick, Sidney I.
Adventures in stochastic processes
(DLC) 92004431
(OCoLC)25316351
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Sidney I Resnick
ISBN: 9781461203872 1461203872
OCLC Number: 883392287
Description: 1 online resource (xii, 626 pages) : illustrations
Responsibility: Sidney Resnick.
More information:

Abstract:

Stochastic processes are necessary ingredients for building models of a wide variety of phenomena exhibiting time varying randomness. In a lively and imaginative presentation, studded with examples, exercises, and applications, and supported by inclusion of computational procedures, the author has created a textbook that provides easy access to this fundamental topic for many students of applied sciences at many levels. With its carefully modularized discussion and crystal clear differentiation between rigorous proof and plausibility argument, it is accessible to beginners but flexible enough to serve as well those who come to the course with strong backgrounds. The prerequisite background for reading the book is a graduate level pre-measure theoretic probability course. No knowledge of measure theory is presumed and advanced notions of conditioning are scrupulously avoided until the later chapters of the book. The book can be used for either a one or two semester course as given in departments of mathematics, statistics, operation research, business and management, or a number of engineering departments. Its approach to exercises and applications is practical and serious. Some underlying principles of complex problems and computations are cleanly and quickly delineated through rich vignettes of whimsically imagined Happy Harry and his Optima Street gangs adventures in a world whose randomness is a never-ending source of both wonder and scientific insight. The tools of applied probability---discrete spaces, Markov chains, renewal theory, point processes, branching processes, random walks, Brownian motion---are presented to the reader in illuminating discussion. Applications include such topics as queuing, storage, risk analysis, genetics, inventory, choice, economics, sociology, and other. Because of the conviction that analysts who build models should know how to build them for each class of process studied, the author has included such constructions.

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