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|a 577.015118
|2 23
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100 |
1 |
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|a K�ery, Marc,
|e author.
|
245 |
1 |
0 |
|a Applied hierarchical modeling in ecology :
|b analysis of distribution, abundance and species richness in R and BUGS.
|n Volume 1,
|p Prelude and static models /
|c Marc K�ery, J. Andrew Royle.
|
246 |
3 |
0 |
|a Prelude and static models
|
264 |
|
1 |
|a Amsterdam ;
|a Boston :
|b Elsevier/AP, Academic Press is an imprint of Elsevier,
|c [2016]
|
264 |
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4 |
|c �2016
|
300 |
|
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|a 1 online resource :
|b illustrations (some color), maps
|
336 |
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|a text
|b txt
|2 rdacontent
|
337 |
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|a computer
|b c
|2 rdamedia
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338 |
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|a online resource
|b cr
|2 rdacarrier
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504 |
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|a Includes bibliographical references and indexes.
|
520 |
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|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.
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588 |
0 |
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|a Print version record.
|
505 |
0 |
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|a Volume 1. Prelude -- Models for static systems.
|
546 |
|
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|a English.
|
650 |
|
0 |
|a Ecology
|x Mathematical models.
|
650 |
|
0 |
|a Biogeography
|x Mathematical models.
|
650 |
|
0 |
|a Numbers of species
|x Mathematical models.
|
650 |
|
0 |
|a Species diversity
|x Mathematical models.
|
650 |
|
0 |
|a Multilevel models (Statistics)
|
650 |
|
0 |
|a R (Computer program language)
|
650 |
|
0 |
|a Bayesian statistical decision theory.
|
630 |
0 |
0 |
|a WinBUGS.
|
650 |
|
6 |
|a Biog�eographie
|x Mod�eles math�ematiques.
|0 (CaQQLa)000303348
|
650 |
|
6 |
|a Nombre des esp�eces
|0 (CaQQLa)000305300
|x Mod�eles math�ematiques.
|0 (CaQQLa)201-0379082
|
650 |
|
6 |
|a Diversit�e des esp�eces
|0 (CaQQLa)201-0170294
|x Mod�eles math�ematiques.
|0 (CaQQLa)201-0379082
|
650 |
|
6 |
|a Mod�eles multiniveaux (Statistique)
|0 (CaQQLa)201-0362010
|
650 |
|
6 |
|a R (Langage de programmation)
|0 (CaQQLa)201-0368319
|
650 |
|
6 |
|a Th�eorie de la d�ecision bay�esienne.
|0 (CaQQLa)000272233
|
650 |
|
7 |
|a NATURE
|x Ecology.
|2 bisacsh
|
650 |
|
7 |
|a NATURE
|x Ecosystems & Habitats
|x Wilderness.
|2 bisacsh
|
650 |
|
7 |
|a SCIENCE
|x Environmental Science.
|2 bisacsh
|
650 |
|
7 |
|a SCIENCE
|x Life Sciences
|x Ecology.
|2 bisacsh
|
630 |
0 |
7 |
|a WinBUGS.
|2 fast
|0 (OCoLC)fst01796027
|
650 |
|
7 |
|a Bayesian statistical decision theory.
|2 fast
|0 (OCoLC)fst00829019
|
650 |
|
7 |
|a Biogeography
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00832101
|
650 |
|
7 |
|a Ecology
|x Mathematical models.
|2 fast
|0 (OCoLC)fst00901509
|
650 |
|
7 |
|a Multilevel models (Statistics)
|2 fast
|0 (OCoLC)fst01028902
|
650 |
|
7 |
|a R (Computer program language)
|2 fast
|0 (OCoLC)fst01086207
|
650 |
|
7 |
|a Species diversity
|x Mathematical models.
|2 fast
|0 (OCoLC)fst01129012
|
700 |
1 |
|
|a Royle, J. Andrew,
|e author.
|
776 |
0 |
8 |
|i Print version:
|a K�ery, Marc.
|t Applied hierarchical modeling in ecology.
|d Amsterdam ; Boston : Elsevier/AP, Academic Press is an imprint of Elsevier, [2016]-
|z 9780128013786
|w (DLC) 2015913793
|w (OCoLC)933562423
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128013786
|7 0
|z Texto completo
|
856 |
4 |
0 |
|u https://sciencedirect.uam.elogim.com/science/book/9780128013786
|z Texto completo
|