Can I read Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health) on EtoBox?

Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health) by Alain F. Zuur; Elena N. Ieno; Neil Walker; Anatoly A. Saveliev; Graham M. Smith is a science book available to read on EtoBox.

What is Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health) about?

Building on the successful __Analysing Ecological Data__ (2007) by Zuur, Ieno and Smith, the authors now provide an expanded introduction to using regression and its extensions in analysing ecological data. As with the earlier book, real data sets from postgraduate ecological studies or research projects are used throughout. The first part of the book is a largely non-mathematical introduction to linear mixed effects modelling, GLM and GAM, zero inflated models, GEE, GLMM and GAMM. The second part provides ten case studies that range from koalas to deep sea research. These chapters provide an invaluable insight into analysing complex ecological datasets, including comparisons of different approaches to the same problem. By matching ecological questions and data structure to a case study, these chapters provide an excellent starting point to analysing your own data. Data and R code from all chapters are available from www.highstat.com. Alain F. Zuur is senior statistician and director of Highland Statistics Ltd., a statistical consultancy company based in the UK. He has taught statistics to more than 5000 ecologists. He is honorary research fellow in the School of Biological Science

Who reads Mixed Effects Models and Extensions in Ecology with R (Statistics for Biology and Health)?

Author

Alain F. Zuur; Elena N. Ieno; Neil Walker; Anatoly A. Saveliev; Graham M. Smith

Publisher

Springer New York

Published

2009

Language

EN

ISBN

9780387874579

Category

science

Subjects

Science, Mathematics, Computer Science

Rating

4.8 / 5 (50 ratings)

Updated

2026-03-14