Environmental and Ecological Statistics with R

Reviews / Votes

My favorite feature of this book is the large number of datasets (available on Qian's web page) ... Overall, I liked the book. I expect that I will be pulling examples from it when I teach methods courses to students in the sciences. ... it does contain many interesting and intriguing examples, and good examples of R code. So I can and do recommend it as a helpful resource ...
-Jane L. Harvill, The American Statistician, November 2011

Qian effectively blends fundamentals of scientific methods with statistical thinking, modeling, computing, and inference. ... the text is well formatted with liberal use of illustrative portions of R code ... It is clear that Qian has taken great care in developing this book and has succeeded in meeting his stated purpose. The book reflects Qian's insights into teaching environmental and ecological modeling developed over many years in applied statistics and as an educator in applied sciences. ...
-Biometrics, June 2011

This book gives a data-oriented introduction to statistical modeling of environmental and ecological phenomena. It is a beautiful scientific guideline for a computer-based model building and evaluation process. ... This introductory book gives a diversified overview of modern applied statistics while always following an inductive, data-based approach. Numerous data sets and R scripts, all available online, help to understand even the subtle differences between various models. Here, the reader profits from the obvious practical experience of the author. Meaningful graphics and R code/output embedded in the text support the conclusions drawn and facilitate the application to own data sets. ... Students and researchers of environmental sciences with basic knowledge in statistics will find this book valuable as both a work of reference and an introductory guide to statistical modeling with R.
-Sebastian Engelke and Martin Schlather, Biometrical Journal, 2011 My favorite feature of this book is the large number of datasets (available on Qian's web page) ... Overall, I liked the book. I expect that I will be pulling examples from it when I teach methods courses to students in the sciences. ... it does contain many interesting and intriguing examples, and good examples of R code. So I can and do recommend it as a helpful resource ...
-Jane L. Harvill, The American Statistician, November 2011

Qian effectively blends fundamentals of scientific methods with statistical thinking, modeling, computing, and inference. ... the text is well formatted with liberal use of illustrative portions of R code ... It is clear that Qian has taken great care in developing this book and has succeeded in meeting his stated purpose. The book reflects Qian's insights into teaching environmental and ecological modeling developed over many years in applied statistics and as an educator in applied sciences. ...
-Biometrics, June 2011

his book gives a data-oriented introduction to statistical modeling of environmental and ecological phenomena. It is a beautiful scientific guideline for a computer-based model building and evaluation process. ... This introductory book gives a diversified overview of modern applied statistics while always following an inductive, data-based approach. Numerous data sets and R scripts, all available online, help to understand even the subtle differences between various models. Here, the reader profits from the obvious practical experience of the author. Meaningful graphics and R code/output embedded in the text support the conclusions drawn and facilitate the application to own data sets. ... Students and researchers of environmental sciences with basic knowledge in statistics will find this book valuable as both a work of reference and an introductory guide to statistical modeling with R.
-Sebastian Engelke and Martin Schlather, Biometrical Journal, 2011