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Beginner's guide to zero-inflated models with R / Alain F. Zuur, Elena N. Ieno.

By: Zuur, Alain F [author.].
Contributor(s): Ieno, Elena N [author.].
Material type: materialTypeLabelBookSeries: Highland statistics Ltd. book series: 6.Publisher: Newburgh, United Kingdom Highland Statistics Ltd., 2016.Description: xvi, 414 pages : illustrations ; 24 cm.ISBN: 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
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.
Subject: 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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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

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