Beginner's guide to zero-inflated models with R
By: Alain F. Zuur, Elena N. Ieno
Contributors: Ieno, Elena N., author
Publisher: Highland Statistics Ltd.
Published: 2016
Place of publication: Newburgh, United Kingdom
Language: eng
Number of pages: 414
ISBN-13: 9780957174184
Subjects: Ecology; Statistical methods; Multilevel models (Statistics); R (Computer program language); Regression analysis; Linear models (Statistics); Generalized estimating equations; Mathematics; Data processing
Description: 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.
Notes: Includes bibliographical references and index.
Table of contents: title: 1. Introduction; title: 2. Essential distributions for zero-inflated models; title: 3. Introducing zero-inflated Poisson models; title: 4. Zero-inflated models applied to orange-crowned warblers; title: 5. Zero-inflated models applied to shark abundance data; title: 6. Hurdle models for riparian spider counts; title: 7. Models for zero-inflated continuous data applied to Chinese tallow trees; title: 8. Linear mixed effects models; title: 9. Zero-altered models with two-way nested and crossed random effects; title: 10. Introduction to Bayesian statistics; title: 11. Bayesian analysis for Poisson, NB, ZIP and Bernoulli models; title: 12. Bayesian analysis for linear mixed effects models; title: Beaver and Lilies; title: 13. The zero trick to fit any distribution in a Bayesian analysis; title: 14. Bayesian model selection techniques; title: 15. Bayesian model selection applied to zero-inflated butterfly data; title: 16. Zero-inflated seagrass coverage data; title: 17. Other distributions; title: 18. Multivariate GLMM.