Mixed effects models and extensions in ecology with R

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December 19, 2023 | History

Mixed effects models and extensions in ecology with R

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"In this book the authors provide an expanded introduction to using regression and its extensions in analysing ecological data. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing the reader's own data."--NHBS Environment Bookstore.

Publish Date
Publisher
Springer
Language
English
Pages
574

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Previews available in: English

Edition Availability
Cover of: Mixed effects models and extensions in ecology with R
Mixed effects models and extensions in ecology with R
2009, Springer
in English

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Book Details


Table of Contents

Limitations of linear regression applied on ecological data
Things are not always linear : additive modeling
Dealing with heterogeneity
Mixed effects modeling for nested data
Violation of independence. Part 1
Violation of independence. Part 2
Meet the exponential family
GLM and GAM for count data
GLM and GAM for absence-presence and proportional data
Zero-truncated and zero-inflated models for count data
Generalised estimation equations
GLMM and GAMM
Estimating trends for Antarctic birds in relation to climate change / A.F. Zuur ... [et al.]
Large scale impacts of land-use change in a Scottish farming catchment / A.F. Zuur ... [et al.]
Negative binomial GAM and GAMM to analyse amphibian roadkills / A.F. Zuur ... [et al.]
Additive mixed modelling applied on deep-sea pelagic bioluminescent organisms / A.F. Zuur ... [et al.]
Additive mixed modelling applied on phytoplankton time series data / A.F. Zuur ... [et al.]
Mixed effects modelling applied on American foulbrood affecting honey bees larvae / A.F. Zuur ... [et al.]
Three-way nested data for age determination techniques applied to cetaceans / E.N. Ieno ... [et al.]
GLMM applied on the spatial distribution of koalas in a fragmented landscape / J.R. Rhodes ... [et al.]
A comparison of GLM, GEE, and GLMM applied to badger activity data / N.J. Walker ... [et al.]
Incorporating temporal correlation in seal abundance data with MCMC / A.A. Saveliev ... [et al.]
Required pre-knowledge : a linear regression and additive modelling example.

Edition Notes

Includes bibliographical references and index.

Published in
New York, NY
Series
Statistics for biology and health

Classifications

Dewey Decimal Class
577.0727
Library of Congress
QH541.15.S72 M59 2009, QH540-549.5, QH541.15.S72 M58 2009

The Physical Object

Pagination
xxii, 574 p. :
Number of pages
574

ID Numbers

Open Library
OL24043466M
Internet Archive
mixedeffectsmode00zuur
ISBN 10
0387874577
ISBN 13
9780387874579
LCCN
2008942429
OCLC/WorldCat
288985460

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Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 19, 2023 Edited by ImportBot import existing book
November 29, 2023 Edited by MARC Bot import existing book
July 26, 2023 Edited by ImportBot import existing book
March 20, 2023 Edited by ImportBot import existing book
February 9, 2010 Created by ImportBot Imported from Library of Congress MARC record