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Bayesian Analysis Spatially Structured by Zhao Qing (16 results)
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Bayesian Analysis of Spatially Structured Population Dynamics (Ecological Studies, 253)
Seller: Books From California, Simi Valley, CA, U.S.A.
Seller rating 4 out of 5 stars
hardcover. Condition: Very Good.
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Condition: New.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Condition: As New. Unread book in perfect condition.
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Bayesian Analysis of Spatially Structured Population Dynamics (Ecological Studies, 253)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 81.52
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
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Bayesian Analysis of Spatially Structured Population Dynamics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Bayesian Analysis of Spatially Structured Population Dynamics
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Hardcover. Condition: Brand New. 300 pages. 9.25x6.10x9.25 inches. In Stock.
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Bayesian Analysis of Spatially Structured Population Dynamics
Language: English
Published by Springer, Palgrave Macmillan, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Buch. Condition: 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.
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Condition: new. Questo è un articolo print on demand.
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Bayesian Analysis of Spatially Structured Population Dynamics
Language: English
Published by Springer, Palgrave Macmillan Okt 2024, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Buch. Condition: 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. 404 pp. Englisch.
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Bayesian Analysis of Spatially Structured Population Dynamics
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Condition: 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.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Bayesian Analysis of Spatially Structured Population Dynamics
Language: English
Published by Springer, Springer Okt 2024, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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 KG, Sachsenplatz 4-6, 1201 Wien 404 pp. Englisch.
