Stochastic Modelling and Applied Probability

By: Te Sun Han, H. Koga (Translator)

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Paperback | 18 December 2010

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560 Pages

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23.5 x 15.88 x 3.18

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From the reviews: "This book nicely complements the existing literature on information and coding theory by concentrating on arbitrary nonstationary and/or nonergodic sources and channels with arbitrarily large alphabets. Even with such generality the authors have managed to successfully reach a highly unconventional but very fertile exposition rendering new insights into many problems." -- MATHEMATICAL REVIEWS

Industry Reviews

From the reviews:

MATHEMATICAL REVIEWS

"This book proposes a generalization of information theory in the sense of Shannon to a situation with sources and channels being possibly nonstationary and/or nonergodic. ... This book presents useful and important concepts in information theory arising from original ideas of the author ... ." (A. Akutowicz, Zentralblatt MATH, Vol. 1010, 2003)

"This book nicely complements the existing literature on information and coding theory by concentrating on arbitrary nonstationary and/or nonergodic sources and channels with arbitrarily large alphabets. Even with such generality the authors have managed to successfully reach a highly unconventional but very fertile exposition rendering new insights into many problems. The book establishes a unified general treatment for a collection of results ... . The book contains a considerable number of historical remarks together with a rather extensive list of references ... ." (Andrei Kelarev, Mathematical Reviews, 2003 i)

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