Applied Stochastic Processes in Science and Engineering
by Matt Scott
Publisher: University of Waterloo 2013
Number of pages: 316
This book is designed as an introduction to the ideas and methods used to formulate mathematical models of physical processes in terms of random functions. Written for a senior undergraduate course offered to students with a suitably mathematical background.
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by Oliver Knill - Overseas Press
This text covers material of a basic probability course, discrete stochastic processes including Martingale theory, continuous time stochastic processes like Brownian motion and stochastic differential equations, estimation theory, and more.
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The book on vector stochastic processes in equilibrium or stochastic networks, with wide range of applications. It covers the concept of reversibility, the output from a queue, and the epolymerization process quilibrium distribution.
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