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Applied hierarchical modeling in eco...

Kéry, Marc,

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Applied hierarchical modeling in ecology. = analysis of distribution, abundance and species richness in R and BUGS /. Volume 1,. Prelude and static models

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied hierarchical modeling in ecology./ Marc Kéry, J. Andrew Royle.
Reminder of title:	analysis of distribution, abundance and species richness in R and BUGS /
remainder title:	Prelude and static models.
Author:	Kéry, Marc,
other author:	Royle, J. Andrew,
Published:	Amsterdam ;Elsevier/AP, Academic Press is an imprint of Elsevier, : 2016.,
Description:	1 online resource :ill. (some col.), maps.
[NT 15003449]:	Volume 1. Prelude -- Models for static systems.
Subject:	Ecology - Mathematical models. -
Online resource:	https://www.sciencedirect.com/science/book/9780128013786
ISBN:	9780128014868 (v. 1 : electronic bk.)

Applied hierarchical modeling in ecology. = analysis of distribution, abundance and species richness in R and BUGS /. Volume 1,. Prelude and static models
Kéry, Marc,

Applied hierarchical modeling in ecology.analysis of distribution, abundance and species richness in R and BUGS /Volume 1,Prelude and static models[electronic resource] :Prelude and static models.Marc Kéry, J. Andrew Royle. - Amsterdam ;Elsevier/AP, Academic Press is an imprint of Elsevier,2016. - 1 online resource :ill. (some col.), maps.

Includes bibliographical references and indexes.

Volume 1. Prelude -- Models for static systems.

Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection Presents models and methods for identifying unmarked individuals and species Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses Includes companion website containing data sets, code, solutions to exercises, and further information.

English.

ISBN: 9780128014868 (v. 1 : electronic bk.)Subjects--Uniform Titles:

WinBUGS.
Subjects--Topical Terms:

545792
Ecology
--Mathematical models.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: QH541.15.M3 / K47 2016eb

Dewey Class. No.: 577.015118

Applied hierarchical modeling in ecology. = analysis of distribution, abundance and species richness in R and BUGS /. Volume 1,. Prelude and static models
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260 $a Amsterdam ; $a Boston : $b Elsevier/AP, Academic Press is an imprint of Elsevier, $c 2016.
300 $a 1 online resource : $b ill. (some col.), maps.
504 $a Includes bibliographical references and indexes.
505 0 $a Volume 1. Prelude -- Models for static systems.
520 $a Applied Hierarchical Modeling in Ecology: Distribution, Abundance, Species Richness offers a new synthesis of the state-of-the-art of hierarchical models for plant and animal distribution, abundance, and community characteristics such as species richness using data collected in metapopulation designs. These types of data are extremely widespread in ecology and its applications in such areas as biodiversity monitoring and fisheries and wildlife management. This first volume explains static models/procedures in the context of hierarchical models that collectively represent a unified approach to ecological research, taking the reader from design, through data collection, and into analyses using a very powerful class of models. Applied Hierarchical Modeling in Ecology, Volume 1 serves as an indispensable manual for practicing field biologists, and as a graduate-level text for students in ecology, conservation biology, fisheries/wildlife management, and related fields. Provides a synthesis of important classes of models about distribution, abundance, and species richness while accommodating imperfect detection Presents models and methods for identifying unmarked individuals and species Written in a step-by-step approach accessible to non-statisticians and provides fully worked examples that serve as a template for readers' analyses Includes companion website containing data sets, code, solutions to exercises, and further information.
546 $a English.
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650 0 $a Ecology $x Mathematical models. $3 545792
650 0 $a Biogeography $x Mathematical models. $3 1582888
650 0 $a Numbers of species $x Mathematical models. $3 3463003
650 0 $a Species diversity $x Mathematical models. $3 3463004
650 0 $a Multilevel models (Statistics) $3 604810
650 0 $a R (Computer program language) $3 784593
650 0 $a Bayesian statistical decision theory. $3 551404
655 4 $a Electronic books. $2 lcsh $3 542853
700 1 $a Royle, J. Andrew, $e author. $3 3463002
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