An edition of Beginner's guide to zero-inflated models with R
(2016)
Beginner's guide to zero-inflated models with R
by Alain F. Zuur
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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.
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| Edition | Availability |
|---|---|
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Beginner's guide to zero-inflated models with R
2016, Highland Statistics Ltd.
in English
0957174187 9780957174184
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Book Details
Table of 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.
Edition Notes
Includes bibliographical references and index.
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| December 20, 2022 | Created by MARC Bot | import new book |