Vendeur : Greenworld Books, Arlington, TX, Etats-Unis
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Ajouter au panierEtat : good. Fast Free Shipping â" Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.
Vendeur : Bay State Book Company, North Smithfield, RI, Etats-Unis
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Edité par Academic Press 2008-10-15, 2008
ISBN 10 : 0123740975 ISBN 13 : 9780123740977
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
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Ajouter au panierHardcover. Etat : New.
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Ajouter au panierEtat : New. pp. 464.
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 444 pages. 9.25x7.75x1.25 inches. In Stock.
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Ajouter au panierEtat : New. pp. 464.
Edité par Elsevier Science Publishing Co Inc, 2008
ISBN 10 : 0123740975 ISBN 13 : 9780123740977
Langue: anglais
Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni
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Ajouter au panierHardback. Etat : New. New copy - Usually dispatched within 4 working days. 1002.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Ajouter au panierEtat : New. pp. 464.
Vendeur : GoldBooks, Denver, CO, Etats-Unis
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Ajouter au panierEtat : new.
Vendeur : Brook Bookstore On Demand, Napoli, NA, Italie
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Ajouter au panierEtat : new. Questo è un articolo print on demand.
Edité par Elsevier Science Jul 2008, 2008
ISBN 10 : 0123740975 ISBN 13 : 9780123740977
Langue: anglais
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
EUR 86,20
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods.This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.The authors apply principles of hierarchical modeling to ecological problems, including \* occurrence or occupancy models for estimating species distribution\* abundance models based on many sampling protocols, including distance sampling\* capture-recapture models with individual effects\* spatial capture-recapture models based on camera trapping and related methods\* population and metapopulation dynamic models\* models of biodiversity, community structure and dynamics \* Wide variety of examples involving many taxa (birds, amphibians, mammals, insects, plants)\* Development of classical, likelihood-based procedures for inference, as well asBayesian methods of analysis\* Detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS\* Computing support in technical appendices in an online companion web site 464 pp. Englisch.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 88,31
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Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - A guide to data collection, modeling and inference strategies for biological survey data using Bayesian and classical statistical methods.This book describes a general and flexible framework for modeling and inference in ecological systems based on hierarchical models, with a strict focus on the use of probability models and parametric inference. Hierarchical models represent a paradigm shift in the application of statistics to ecological inference problems because they combine explicit models of ecological system structure or dynamics with models of how ecological systems are observed. The principles of hierarchical modeling are developed and applied to problems in population, metapopulation, community, and metacommunity systems. The book provides the first synthetic treatment of many recent methodological advances in ecological modeling and unifies disparate methods and procedures.The authors apply principles of hierarchical modeling to ecological problems, including \* occurrence or occupancy models for estimating species distribution\* abundance models based on many sampling protocols, including distance sampling\* capture-recapture models with individual effects\* spatial capture-recapture models based on camera trapping and related methods\* population and metapopulation dynamic models\* models of biodiversity, community structure and dynamics.