Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Hardcover. Condition: new. Hardcover. Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Ito process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and BaumWelch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals. Together with the fundamental topics, this book covers advanced theories and engineering applications, including the EM algorithm, hidden Markov models, and queueing and loss systems. A solutions manual, lecture slides and MATLAB programs all available online make this ideal for classroom teaching as well as a valuable reference for professionals. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Published by Cambridge University Press CUP, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Covers the fundamental topics together with advanced theories, including the EM algorithm, hidden Markov models, and queueing and loss systems.
Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
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Condition: Used: Good. Occasion - Bon Etat - Probability random processes and statistical analysis : Applications to communications signal processing queueing theory and mathematical finance (2012) - Grand Format.
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Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: new. Hardcover. Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Ito process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and BaumWelch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals. Together with the fundamental topics, this book covers advanced theories and engineering applications, including the EM algorithm, hidden Markov models, and queueing and loss systems. A solutions manual, lecture slides and MATLAB programs all available online make this ideal for classroom teaching as well as a valuable reference for professionals. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
Seller: moluna, Greven, Germany
Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Together with the fundamental topics, this book covers advanced theories and engineering applications, including the EM algorithm, hidden Markov models, and queueing and loss systems. A solutions manual, lecture slides and MATLAB programs all available onli.
Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. xxxi + 780 114 Illus.
Published by Cambridge University Press, 2012
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND pp. xxxi + 780.
Published by Cambridge University Press, Cambridge, 2011
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
Seller: AussieBookSeller, Truganina, VIC, Australia
Hardcover. Condition: new. Hardcover. Together with the fundamentals of probability, random processes and statistical analysis, this insightful book also presents a broad range of advanced topics and applications. There is extensive coverage of Bayesian vs. frequentist statistics, time series and spectral representation, inequalities, bound and approximation, maximum-likelihood estimation and the expectation-maximization (EM) algorithm, geometric Brownian motion and Ito process. Applications such as hidden Markov models (HMM), the Viterbi, BCJR, and BaumWelch algorithms, algorithms for machine learning, Wiener and Kalman filters, and queueing and loss networks are treated in detail. The book will be useful to students and researchers in such areas as communications, signal processing, networks, machine learning, bioinformatics, econometrics and mathematical finance. With a solutions manual, lecture slides, supplementary materials and MATLAB programs all available online, it is ideal for classroom teaching as well as a valuable reference for professionals. Together with the fundamental topics, this book covers advanced theories and engineering applications, including the EM algorithm, hidden Markov models, and queueing and loss systems. A solutions manual, lecture slides and MATLAB programs all available online make this ideal for classroom teaching as well as a valuable reference for professionals. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2011
ISBN 10: 0521895448 ISBN 13: 9780521895446
Language: English
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Probability, Random Processes, and Statistical Analysis | Hisashi Kobayashi (u. a.) | Buch | Gebunden | Englisch | 2011 | Cambridge University Press | EAN 9780521895446 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.