Stochastic Processes

Stochastic Processes
Author: Robert G. Gallager
Publisher: Cambridge University Press
Total Pages: 559
Release: 2013-12-12
Genre: Business & Economics
ISBN: 1107039754
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The definitive textbook on stochastic processes, written by one of the world's leading information theorists, covering both theory and applications.


Stochastic Processes
Language: en
Pages: 559

Stochastic Processes

Authors: Robert G. Gallager
Categories: Business & Economics
Type: BOOK - Published: 2013-12-12 - Publisher: Cambridge University Press

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The definitive textbook on stochastic processes, written by one of the world's leading information theorists, covering both theory and applications.
Stationary Stochastic Processes
Language: en
Pages: 378

Stationary Stochastic Processes

Authors: Georg Lindgren
Categories: Mathematics
Type: BOOK - Published: 2012-10-01 - Publisher: CRC Press

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Intended for a second course in stationary processes, Stationary Stochastic Processes: Theory and Applications presents the theory behind the field’s widely s
Theory and Applications of Stochastic Processes
Language: en
Pages: 486

Theory and Applications of Stochastic Processes

Authors: Zeev Schuss
Categories: Mathematics
Type: BOOK - Published: 2009-12-09 - Publisher: Springer Science & Business Media

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Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry,
Stochastic Processes: Theory and Methods
Language: en
Pages: 990

Stochastic Processes: Theory and Methods

Authors: D N Shanbhag
Categories: Mathematics
Type: BOOK - Published: 2001 - Publisher: Gulf Professional Publishing

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This volume in the series contains chapters on areas such as pareto processes, branching processes, inference in stochastic processes, Poisson approximation, Le
Stochastic Processes
Language: en
Pages: 866

Stochastic Processes

Authors: Pierre Del Moral
Categories: Mathematics
Type: BOOK - Published: 2017-02-24 - Publisher: CRC Press

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Unlike traditional books presenting stochastic processes in an academic way, this book includes concrete applications that students will find interesting such a