Beginner's Guide to Zero-Inflated Models with R
Langue : Anglais
Auteurs : IENO Elena N., IENO Elena N.
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.
- 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
- 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
Date de parution : 01-2016
Ouvrage de 414 p.
Disponible chez l'éditeur (délai d'approvisionnement : 14 jours).
Prix indicatif 156,93 €
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