I Basic Concepts
Introduction
A Crash Course on R
Statistical Assumptions
Statistical Inference
II Statistical Modeling
Linear Models
Nonlinear Models
Classi cation and Regression Tree
Generalized Linear Model
III Advanced Statistical Modeling
Simulation for Model Checking and Statistical Inference
Multilevel Regression
Using Simulation for Evaluating Models Based on Statistical Signicance Testing
Bibliography
Biography
Song S. Qian, PhD, is an assistant professor in the Department of Environmental Sciences at the University of Toledo, Ohio, USA
"‘Environmental and Ecological Statistics with R, Second Edition’ offers a comprehensive and highly engaging look at modern statistical modeling. It covers a wide range of topics, including linear and non-linear regression models, classification and regression tree structures, and generalized linear models. I particularly enjoyed the third section of the book covering interesting areas of advanced statistical modeling, where the reader can find many didactical examples that are highly relevant to environmental management such as the problem of Cryptosporidium in drinking water, the uncertainty in water quality measurements using the ELISA method as an example, or the threshold indicator taxa analysis.
The author has the unique ability of being able to clearly explain difficult statistical concepts whilst still making the book accessible for researchers of all levels, from undergraduate students to researchers already conducting serious empirical research. The emerging philosophical consensus that both the frequentist and Bayesian way of thinking are important in statistical practice is nicely articulated throughout the book. R codes are also provided, enabling researchers to apply statistical techniques to their own ecological or environmental management problems. Overall, this book is exceptionally well written and should prove an invaluable tool either as a classroom text or as an addition to the research bookshelf. I am very confident that ‘Environmental and Ecological Statistics with R, Second Edition’ will end up being a classic!"
—George Arhonditsis, Professor and Chair of the Department of Physical & Environmental Sciences, University of Toronto"Shortly after it was published, the first edition of ‘Environmental and Ecological Statistics with R’ by Song S. Qian became a go-to book for environmental scientists interested in the application of Bayesian methods in R to address a broad range of enviro
