Seller: Books From California, Simi Valley, CA, U.S.A.
hardcover. Condition: Very Good.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 2024th edition NO-PA16APR2015-KAP.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Condition: As New. Unread book in perfect condition.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: GoldBooks, Denver, CO, U.S.A.
Condition: new.
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 300 pages. 9.25x6.10x9.25 inches. In Stock.
Language: English
Published by Springer, Palgrave Macmillan, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Seller: AHA-BUCH GmbH, Einbeck, Germany
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.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand.
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
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
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.
Language: English
Published by Springer International Publishing AG, Cham, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Seller: CitiRetail, Stevenage, United Kingdom
Hardcover. Condition: 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Language: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Seller: moluna, Greven, Germany
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.
Seller: preigu, Osnabrück, Germany
Buch. Condition: Neu. Bayesian Analysis of Spatially Structured Population Dynamics | Qing Zhao | Buch | xvi | Englisch | 2024 | Springer | EAN 9783031645174 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Language: English
Published by Springer, Palgrave Macmillan Okt 2024, 2024
ISBN 10: 3031645170 ISBN 13: 9783031645174
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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 GmbH, Tiergartenstr. 17, 69121 Heidelberg 404 pp. Englisch.