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Hierarchical Modeling and Inference in Ecology, The Analysis of Data from Populations, Metapopulations and Communities - J. Andrew Royle, Robert M. Dorazio
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J. Andrew Royle, Robert M. Dorazio:

Hierarchical Modeling and Inference in Ecology, The Analysis of Data from Populations, Metapopulations and Communities - nouveau livre

2008, ISBN: 9780080559254

ID: 1001004007444588

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 ..., 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, meta population, community, and meta community 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 meta population 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 as Bayesian methods of analysis; detailed explanations describing the implementation of hierarchical models using freely available software such as R and WinBUGS; and, computing support in technical appendices in an online companion web site. Productinformatie: Taal: Engels; Vertaald uit het: Engels; Formaat: ePub met kopieerbeveiliging (DRM) van Adobe; Bestandsgrootte: 10.63 MB; Kopieerrechten: Het kopiëren van (delen van) de pagina's is niet toegestaan ; Printrechten: Het printen van de pagina's is niet toegestaan; Voorleesfunctie: De voorleesfunctie is uitgeschakeld; Geschikt voor: Alle e-readers te koop bij bol.com (of compatible met Adobe DRM). Telefoons/tablets met Google Android (1.6 of hoger) voorzien van bol.com boekenbol app. PC en Mac met Adobe reader software; ISBN10: 0080559255; ISBN13: 9780080559254; , Engels | Ebook | 2008, School en studie, Exacte wetenschappen, Ecologie, School en studie, Exacte wetenschappen, Meer exacte wetenschappen, Academic Press

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Hierarchical Modeling and Inference in Ecology - J. Andrew Royle, Robert M. Dorazio
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J. Andrew Royle, Robert M. Dorazio:

Hierarchical Modeling and Inference in Ecology - nouveau livre

10, ISBN: 9780080559254

ID: 106019780080559254

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 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 Biology, Biological Sciences, Hierarchical Modeling and Inference in Ecology~~ J. Andrew Royle, Robert M. Dorazio~~Biology~~Biological Sciences~~9780080559254, en, Hierarchical Modeling and Inference in Ecology, J. Andrew Royle, Robert M. Dorazio, 9780080559254, Academic Press, 10/15/2008, , , , Academic Press, 10/15/2008

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Hierarchical Modeling And Inference In Ecology - Elsevier Science
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Elsevier Science:
Hierarchical Modeling And Inference In Ecology - nouveau livre

2008

ISBN: 9780080559254

ID: 5537661

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. 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 eBooks, , Hierarchical Modeling And Inference In Ecology~~EBook~~9780080559254~~J. Andrew Royle, Robert M. Dorazio, , Hierarchical Modeling And Inference In Ecology, J. Andrew Royle, 9780080559254, Elsevier Science, 10/15/2008, , , , Elsevier Science

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Hierarchical Modeling and Inference in Ecology - J. Andrew Royle
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J. Andrew Royle:
Hierarchical Modeling and Inference in Ecology - nouveau livre

ISBN: 9780080559254

ID: 9780080559254

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 9780123740977,9780080559254,0123740975,0080559255 Other pricing structure might be available at vitalsource.com., Elsevier S & T

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Hierarchical Modeling and Inference in Ecology - J. Andrew Royle;  Robert M. Dorazio
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J. Andrew Royle; Robert M. Dorazio:
Hierarchical Modeling and Inference in Ecology - Première édition

2008, ISBN: 9780080559254

ID: 21794213

The Analysis of Data from Populations, Metapopulations and Communities, [ED: 1], Auflage, eBook Download (EPUB,PDF), eBooks, [PU: Academic Press]

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Détails sur le livre
Hierarchical Modeling and Inference in Ecology
Auteur:

Robert M. Dorazio;Royle, J. Andrew

Titre:

Hierarchical Modeling and Inference in Ecology

ISBN:

9780080559254

Informations détaillées sur le livre - Hierarchical Modeling and Inference in Ecology


EAN (ISBN-13): 9780080559254
Date de parution: 2008
Editeur: Academic Press

Livre dans la base de données depuis 28.02.2007 23:38:33
Livre trouvé récemment le 23.10.2016 16:59:02
ISBN/EAN: 9780080559254

ISBN - Autres types d'écriture:
978-0-08-055925-4

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