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Mixed effects models and extensions in ecology with R

Overview of attention for book
Mixed effects models and extensions in ecology with R
Springer New York

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction
  3. Altmetric Badge
    Chapter 2 Limitations of Linear Regression Applied on Ecological Data
  4. Altmetric Badge
    Chapter 3 Things are not Always Linear; Additive Modelling
  5. Altmetric Badge
    Chapter 4 Dealing with Heterogeneity
  6. Altmetric Badge
    Chapter 5 Mixed Effects Modelling for Nested Data
  7. Altmetric Badge
    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
  24. Altmetric Badge
    Chapter 23 Incorporating Temporal Correlation in Seal Abundance Data with MCMC
Attention for Chapter 3: Things are not Always Linear; Additive Modelling
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Chapter title
Things are not Always Linear; Additive Modelling
Chapter number 3
Book title
Mixed effects models and extensions in ecology with R
Published in
Statistics for Biology and Health, February 2009
DOI 10.1007/978-0-387-87458-6_3
Book ISBNs
978-0-387-87457-9, 978-0-387-87458-6
Authors

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

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
Brazil 7 2%
United Kingdom 7 2%
Netherlands 5 2%
Canada 5 2%
South Africa 2 <1%
Argentina 2 <1%
Spain 2 <1%
Mexico 1 <1%
Other 3 <1%
Unknown 268 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 92 29%
Researcher 74 24%
Student > Master 55 18%
Student > Doctoral Student 14 4%
Student > Bachelor 13 4%
Other 37 12%
Unknown 27 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 171 55%
Environmental Science 74 24%
Earth and Planetary Sciences 9 3%
Mathematics 4 1%
Medicine and Dentistry 4 1%
Other 11 4%
Unknown 39 13%