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General irreducible Markov chains and non-negative operators / Esa Nummelin.

By: Material type: TextTextSeries: Cambridge tracts in mathematics ; 83.Publisher: Cambridge : Cambridge University Press, 1984Description: 1 online resource (xi, 156 pages) : digital, PDF file(s)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780511526237 (ebook)
Other title:
  • General Irreducible Markov Chains & Non-Negative Operators
Subject(s): Additional physical formats: Print version: : No titleDDC classification:
  • 519.2/33 19
LOC classification:
  • QA274.7 .N85 1984
Online resources: Summary: The purpose of this book is to present the theory of general irreducible Markov chains and to point out the connection between this and the Perron-Frobenius theory of nonnegative operators. The author begins by providing some basic material designed to make the book self-contained, yet his principal aim throughout is to emphasize recent developments. The technique of embedded renewal processes, common in the study of discrete Markov chains, plays a particularly important role. The examples discussed indicate applications to such topics as queueing theory, storage theory, autoregressive processes and renewal theory. The book will therefore be useful to researchers in the theory and applications of Markov chains. It could also be used as a graduate-level textbook for courses on Markov chains or aspects of operator theory.
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Title from publisher's bibliographic system (viewed on 05 Oct 2015).

The purpose of this book is to present the theory of general irreducible Markov chains and to point out the connection between this and the Perron-Frobenius theory of nonnegative operators. The author begins by providing some basic material designed to make the book self-contained, yet his principal aim throughout is to emphasize recent developments. The technique of embedded renewal processes, common in the study of discrete Markov chains, plays a particularly important role. The examples discussed indicate applications to such topics as queueing theory, storage theory, autoregressive processes and renewal theory. The book will therefore be useful to researchers in the theory and applications of Markov chains. It could also be used as a graduate-level textbook for courses on Markov chains or aspects of operator theory.

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