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Markov chains = analytic and Monte C...
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Graham, C.
Markov chains = analytic and Monte Carlo computations /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Markov chains/ Carl Graham.
Reminder of title:
analytic and Monte Carlo computations /
Author:
Graham, C.
Published:
Chichester, West Sussex :Wiley-Dunod, : 2014.,
Description:
1 online resource.
Subject:
Markov processes. -
Online resource:
http://onlinelibrary.wiley.com/book/10.1002/9781118881866
ISBN:
9781118882696 (ePub)
Markov chains = analytic and Monte Carlo computations /
Graham, C.
Markov chains
analytic and Monte Carlo computations /[electronic resource] :Carl Graham. - Chichester, West Sussex :Wiley-Dunod,2014. - 1 online resource. - Wiley series in probability and statistics. - Wiley series in probability and statistics..
Includes bibliographical references and index.
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features: Numerous exercises with solutions as well as extended case studies. A detailed and rigorous presentation of Markov chains with discrete time and state space.
ISBN: 9781118882696 (ePub)
LCCN: 2013050092Subjects--Topical Terms:
527825
Markov processes.
LC Class. No.: QA274.7
Dewey Class. No.: 519.2/33
Markov chains = analytic and Monte Carlo computations /
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1118882695 (ePub)
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9781118881873 (Adobe PDF)
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1118881877 (Adobe PDF)
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9781118517079 (cloth)
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9781118881866 (electronic bk.)
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1118881869 (electronic bk.)
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Markov chains
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[electronic resource] :
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analytic and Monte Carlo computations /
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Carl Graham.
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Chichester, West Sussex :
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Wiley-Dunod,
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2014.
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1 online resource.
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Wiley series in probability and statistics
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Includes bibliographical references and index.
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Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical theory. This book also features: Numerous exercises with solutions as well as extended case studies. A detailed and rigorous presentation of Markov chains with discrete time and state space.
588
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Description based on print version record and CIP data provided by publisher.
650
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Markov processes.
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527825
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Monte Carlo method.
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672188
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Numerical calculations.
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Wiley series in probability and statistics.
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http://onlinelibrary.wiley.com/book/10.1002/9781118881866
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