Beginner's guide to zero-inflated models with R / Alain F. Zuur, Elena N. Ieno.
Contributor(s): Ieno, Elena N [author.].Material type: BookSeries: Highland statistics Ltd. book series: 6.Publisher: Newburgh, United Kingdom Highland Statistics Ltd., 2016.Description: xvi, 414 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780957174184; 0957174187.Subject(s): ECOLOGY | STATISTICAL METHODS | Multilevel models (Statistics) | R | REGRESSION ANALYSIS | LINEAR MODELS | Generalized estimating equations | MATHEMATICS | DATA PROCESSINGHoldings: GRETA POINT: 519.22 ZUU
|Item type||Current location||Call number||Copy number||Status||Date due||Barcode|
|BOOK||WELLINGTON BOOKS||519.22 ZUU||1||Issued||13/08/2018||B018782|
Includes bibliographical references and index.
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.
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.
GRETA POINT: 519.22 ZUU