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Da: Majestic Books, Hounslow, Regno Unito
EUR 66,09
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Da: California Books, Miami, FL, U.S.A.
EUR 68,87
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 69,86
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 66,42
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 66,56
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Da: Books Puddle, New York, NY, U.S.A.
EUR 76,41
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 69,85
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,88
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 77,55
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Da: Moe's Books, Berkeley, CA, U.S.A.
EUR 57,54
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Da: Revaluation Books, Exeter, Regno Unito
EUR 92,00
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Aggiungi al carrelloPaperback. Condizione: Brand New. 2nd edition. 398 pages. 9.18x6.12x0.91 inches. In Stock.
Editore: Taylor & Francis Ltd, London, 2021
ISBN 10: 103217949X ISBN 13: 9781032179490
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 81,37
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations.The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued, circular, multivariate, binary, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations.FeaturesPresents an accessible overview of HMMsExplores a variety of applications in ecology, finance, epidemiology, climatology, and sociologyIncludes numerous theoretical and programming exercisesProvides most of the analysed data sets online New to the second editionA total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state processNew case studies on animal movement, rainfall occurrence and capture-recapture data Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Taylor & Francis Ltd, London, 2021
ISBN 10: 103217949X ISBN 13: 9781032179490
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 77,21
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations.The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued, circular, multivariate, binary, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations.FeaturesPresents an accessible overview of HMMsExplores a variety of applications in ecology, finance, epidemiology, climatology, and sociologyIncludes numerous theoretical and programming exercisesProvides most of the analysed data sets online New to the second editionA total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state processNew case studies on animal movement, rainfall occurrence and capture-recapture data Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Chapman and Hall/CRC 2016-08-12, 2016
ISBN 10: 1482253836 ISBN 13: 9781482253832
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 90,30
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EUR 118,22
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Da: GoldBooks, Denver, CO, U.S.A.
EUR 99,06
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Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 115,55
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 788.
EUR 119,82
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Da: HPB-Red, Dallas, TX, U.S.A.
EUR 37,29
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Aggiungi al carrelloHardcover. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 116,62
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Editore: Taylor & Francis Ltd, London, 2021
ISBN 10: 103217949X ISBN 13: 9781032179490
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 68,85
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian inference for HMMs. Through examples and applications, the authors describe how to extend and generalize the basic model so that it can be applied in a rich variety of situations.The book demonstrates how HMMs can be applied to a wide range of types of time series: continuous-valued, circular, multivariate, binary, bounded and unbounded counts, and categorical observations. It also discusses how to employ the freely available computing environment R to carry out the computations.FeaturesPresents an accessible overview of HMMsExplores a variety of applications in ecology, finance, epidemiology, climatology, and sociologyIncludes numerous theoretical and programming exercisesProvides most of the analysed data sets online New to the second editionA total of five chapters on extensions, including HMMs for longitudinal data, hidden semi-Markov models and models with continuous-valued state processNew case studies on animal movement, rainfall occurrence and capture-recapture data Hidden Markov Models (HMMs) remains a vibrant area of research in statistics, with many new applications appearing since publication of the first edition. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 126,90
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Da: California Books, Miami, FL, U.S.A.
EUR 129,90
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Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 112,00
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 126,88
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 136,06
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 143,25
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 115,45
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