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Building on the author's more than 35 years of teaching experience,
Modeling and Analysis of Stochastic Systems, Third Edition, covers
the most important classes of stochastic processes used in the
modeling of diverse systems. For each class of stochastic process,
the text includes its definition, characterization, applications,
transient and limiting behavior, first passage times, and
cost/reward models. The third edition has been updated with several
new applications, including the Google search algorithm in discrete
time Markov chains, several examples from health care and finance
in continuous time Markov chains, and square root staffing rule in
Queuing models. More than 50 new exercises have been added to
enhance its use as a course text or for self-study. The sequence of
chapters and exercises has been maintained between editions, to
enable those now teaching from the second edition to use the third
edition. Rather than offer special tricks that work in specific
problems, this book provides thorough coverage of general tools
that enable the solution and analysis of stochastic models. After
mastering the material in the text, readers will be well-equipped
to build and analyze useful stochastic models for real-life
situations.
Building on the author's more than 35 years of teaching experience,
Modeling and Analysis of Stochastic Systems, Third Edition, covers
the most important classes of stochastic processes used in the
modeling of diverse systems. For each class of stochastic process,
the text includes its definition, characterization, applications,
transient and limiting behavior, first passage times, and
cost/reward models. The third edition has been updated with several
new applications, including the Google search algorithm in discrete
time Markov chains, several examples from health care and finance
in continuous time Markov chains, and square root staffing rule in
Queuing models. More than 50 new exercises have been added to
enhance its use as a course text or for self-study. The sequence of
chapters and exercises has been maintained between editions, to
enable those now teaching from the second edition to use the third
edition. Rather than offer special tricks that work in specific
problems, this book provides thorough coverage of general tools
that enable the solution and analysis of stochastic models. After
mastering the material in the text, readers will be well-equipped
to build and analyze useful stochastic models for real-life
situations.
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