[R] New book: Beginner's Guide to GAMM with R

[Highland Statistics Ltd]

We are please to announce the following book:

Title: Beginner's Guide to GAMM with R.
Authors: Zuur, Saveliev, Ieno


Book website: http://www.highstat.com/BGGAMM.htm
Paperback, hardcover or EBook can be order (exclusively) from: 
http://www.highstat.com/bookorder.htm
Table of Contents: http://www.highstat.com/BGS/GAMM/TOC_7_12.pdf

Keywords:
In this book we take the reader on an exciting voyage into the world of 
generalised additive mixed effects models (GAMM). Keywords are GAM, 
mgcv, gamm4, random effects, Poisson and negative binomial GAMM, gamma 
GAMM, binomial GAMM, negative binomial-P models, GAMMs with generalised 
extreme value distributions, overdispersion, underdispersion, 
two-dimensional smoothers, zero-inflated GAMMs, spatial correlation, 
INLA, Markov chain Monte Carlo techniques, JAGS, and two-way nested 
GAMMs. The book includes three chapters on the analysis of zero-inflated 
data.


Kind regards,

Alain Zuur

-- 
Dr. Alain F. Zuur

First author of:
1. Beginner's Guide to GAMM with R (2014).
2. Beginner's Guide to GLM and GLMM with R (2013).
3. Beginner's Guide to GAM with R (2012).
4. Zero Inflated Models and GLMM with R (2012).
5. A Beginner's Guide to R (2009).
6. Mixed effects models and extensions in ecology with R (2009).
7. Analysing Ecological Data (2007).

Highland Statistics Ltd.
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