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Mixed effects models and extensions in ecology with R

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Cover of 'Mixed effects models and extensions in ecology with R'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
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    Chapter 2 Limitations of Linear Regression Applied on Ecological Data
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    Chapter 3 Things are not Always Linear; Additive Modelling
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    Chapter 4 Dealing with Heterogeneity
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    Chapter 5 Mixed Effects Modelling for Nested Data
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    Chapter 6 Violation of Independence – Part I
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    Chapter 7 Violation of Independence – Part II
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    Chapter 8 Meet the Exponential Family
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    Chapter 9 GLM and GAM for Count Data
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    Chapter 10 GLM and GAM for Absence–Presence and Proportional Data
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    Chapter 11 Zero-Truncated and Zero-Inflated Models for Count Data
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    Chapter 12 Generalised Estimation Equations
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    Chapter 13 GLMM and GAMM
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    Chapter 14 Estimating Trends for Antarctic Birds in Relation to Climate Change
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    Chapter 15 Large-Scale Impacts of Land-Use Change in a Scottish Farming Catchment
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    Chapter 16 Negative Binomial GAM and GAMM to Analyse Amphibian Roadkills
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    Chapter 17 Additive Mixed Modelling Applied on Deep-Sea Pelagic Bioluminescent Organisms
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    Chapter 18 Additive Mixed Modelling Applied on Phytoplankton Time Series Data
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    Chapter 19 Mixed Effects Modelling Applied on American Foulbrood Affecting Honey Bees Larvae
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    Chapter 20 Three-Way Nested Data for Age Determination Techniques Applied to Cetaceans
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    Chapter 21 GLMM Applied on the Spatial Distribution of Koalas in a Fragmented Landscape
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    Chapter 22 A Comparison of GLM, GEE, and GLMM Applied to Badger Activity Data
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    Chapter 23 Incorporating Temporal Correlation in Seal Abundance Data with MCMC
Attention for Chapter 10: GLM and GAM for Absence–Presence and Proportional Data
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Chapter title
GLM and GAM for Absence–Presence and Proportional Data
Chapter number 10
Book title
Mixed effects models and extensions in ecology with R
Published by
Springer New York, February 2009
DOI 10.1007/978-0-387-87458-6_10
Book ISBNs
978-0-387-87457-9, 978-0-387-87458-6

Alain F. Zuur, Elena N. Ieno, Neil J. Walker, Anatoly A. Saveliev, Graham M. Smith

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Argentina 3 2%
Canada 3 2%
United States 2 1%
Netherlands 1 <1%
Iceland 1 <1%
Brazil 1 <1%
Unknown 122 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 33%
Researcher 27 20%
Student > Master 26 19%
Student > Bachelor 8 6%
Other 5 4%
Other 14 10%
Unknown 11 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 54%
Environmental Science 30 22%
Medicine and Dentistry 3 2%
Engineering 3 2%
Psychology 2 1%
Other 9 7%
Unknown 15 11%