| Description |
xvi, 414 pages : illustrations ; 24 cm |
| Contents |
1. Introduction -- 2. Essential distributions for zero-inflated models -- 3. Introducing zero-inflated Poisson models -- 4. Zero-inflated models applied to orange-crowned warblers -- 5. Zero-inflated models applied to shark abundance data -- 6. Hurdle models for riparian spider counts -- 7. Models for zero-inflated continuous data applied to Chinese tallow trees -- 8. Linear mixed effects models -- 9. Zero-altered models with two-way nested and crossed random effects -- 10. Introduction to Bayesian statistics -- 11. Bayesian analysis for Poisson, NB, ZIP and Bernoulli models -- 12. Bayesian analysis for linear mixed effects models - Beaver and Lilies -- 13. The zero trick to fit any distribution in a Bayesian analysis -- 14. Bayesian model selection techniques -- 15. Bayesian model selection applied to zero-inflated butterfly data -- 16. Zero-inflated seagrass coverage data -- 17. Other distributions -- 18. Multivariate GLMM |
| Summary |
This book provides the statistical tools to aid analysis of datasets. It deals with two main difficulties faced with large datasets, lots of zeros and dependency |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Ecology -- Statistical methods.
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Generalized estimating equations.
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Linear models (Statistics)
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Mathematics -- Data processing.
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Multilevel models (Statistics)
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R (Computer program language)
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Regression analysis.
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| Author |
Ieno, Elena N., author
|
| ISBN |
9780957174184 |
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