Mixed effects models and extensions in ecology with R
Building on the successful Analysing Ecological Data (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research project...
| Κύριοι συγγραφείς: | , , , , |
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| Συγγραφή απο Οργανισμό/Αρχή: | |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
New York, NY :
Springer New York : Imprint: Springer,
2009.
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| Σειρά: | Statistics for Biology and Health,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Limitations of Linear Regression Applied on Ecological Data
- Things are not Always Linear; Additive Modelling
- Dealing with Heterogeneity
- Mixed Effects Modelling for Nested Data
- Violation of Independence – Part I
- Violation of Independence – Part II
- 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
- Large-Scale Impacts of Land-Use Change in a Scottish Farming Catchment
- Negative Binomial GAM and GAMM to Analyse Amphibian Roadkills
- Additive Mixed Modelling Applied on Deep-Sea Pelagic Bioluminescent Organisms
- Additive Mixed Modelling Applied on Phytoplankton Time Series Data
- Mixed Effects Modelling Applied on American Foulbrood Affecting Honey Bees Larvae
- Three-Way Nested Data for Age Determination Techniques Applied to Cetaceans
- GLMM Applied on the Spatial Distribution of Koalas in a Fragmented Landscape
- A Comparison of GLM, GEE, and GLMM Applied to Badger Activity Data
- Incorporating Temporal Correlation in Seal Abundance Data with MCMC.
