Alain Zuur's Books

This book discusses advanced statistical methods that can be used to analyse ecological data. Most environmental collected data are measured repeatedly over time, or space and this requires the use of GLMM or GAMM methods. The book starts by revising regression, additive modelling, GAM and GLM, and then discusses dealing with spatial or temporal dependencies and nested data.

This book provides a practical introduction to analyzing ecological data using real data sets. The first part gives a largely non-mathematical introduction to data exploration, univariate methods (including GAM and mixed modeling techniques), multivariate analysis, time series analysis, and spatial statistics. The second part provides 17 case studies. The case studies include topics ranging from terrestrial ecology to marine biology and can be used as a template for a reader’s own data analysis. Data from all case studies are available from www.highstat.com. Guidance on software is provided in the book.

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes. This book contains everything you need to know to get started with R.

A Beginner's Guide to Generalized Additive Models with R is exclusively available from: www.highstat.com

Statistics, data analysis, computing.

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes.--[book cover]

This book presents Generalized Linear Models (GLM) and Generalized Linear Mixed Models (GLMM) based on both frequency-based and Bayesian concepts.

Book's by Alain Zuur

Mixed Effects Models and Extensions in Ecology with R

Mixed Effects Models and Extensions in Ecology with R

Analyzing Ecological Data

Analyzing Ecological Data

A Beginner's Guide to R

A Beginner's Guide to R

Mixed Effects Models and Extensions in Ecology with R

Mixed Effects Models and Extensions in Ecology with R

Analyzing Ecological Data

Analyzing Ecological Data

A Beginner's Guide to R

A Beginner's Guide to R

A Beginner's Guide to Generalized Additive Models with R

A Beginner's Guide to Generalized Additive Models with R

Mixed Effects Models and Extensions in Ecology with R

Mixed Effects Models and Extensions in Ecology with R

A Beginner's Guide to R

A Beginner's Guide to R

A Beginner's Guide to GLM and GLMM with R

A Beginner's Guide to GLM and GLMM with R

Username

Password

Username

Password

Password again

Birthday

Email