Da: Books From California, Simi Valley, CA, U.S.A.
EUR 29,44
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Da: GoldBooks, Denver, CO, U.S.A.
EUR 80,72
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 106,52
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 96,70
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 109,56
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 96,69
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Da: California Books, Miami, FL, U.S.A.
EUR 124,67
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 107,33
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Da: Books Puddle, New York, NY, U.S.A.
EUR 123,52
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Aggiungi al carrelloCondizione: New. 2024th edition NO-PA16APR2015-KAP.
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Lingua: Inglese
Da: Grand Eagle Retail, Mason, OH, U.S.A.
EUR 136,50
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 102,56
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Springer International Publishing AG, Cham, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
EUR 118,91
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Editore: Springer International Publishing, Springer International Publishing Okt 2024, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 90,94
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware -The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch.
Editore: Springer International Publishing, Springer International Publishing, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 90,94
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models.
Da: Revaluation Books, Exeter, Regno Unito
EUR 166,95
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Aggiungi al carrelloHardcover. Condizione: Brand New. 300 pages. 9.25x6.10x9.25 inches. In Stock.
Editore: Springer, Berlin, Springer International Publishing, Springer, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 90,94
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Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detection data, count data, combined count and capture-recapture data, and spatial capture-recapture data, respectively. The book provides R code of Metropolis-Hastings algorithms that allow efficient computing of these complex models. The book is aimed at graduate students and researchers who are interested in using and further developing these models. 386 pp. Englisch.
Editore: Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 77,17
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Aggiungi al carrelloGebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book introduces a series of state-of-art Bayesian models that can be used to understand and predict spatially structured population dynamics in our changing world. Several chapters are devoted to introducing models that utilize detection/non-detectio.
Da: Majestic Books, Hounslow, Regno Unito
EUR 128,19
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 131,75
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.