"I don't believe this book was written with the goal of being treated as the primary text of an intro Bayesian statistics course. That said, it could prove to be a useful supplemental text for an introductory Bayesian course or even a linear models course. Although the book was geared towards ecologists, I believe it would be an excellent library addition for any applied modeler interested in applying Bayesian methodologies in their work."--The American Statistician
From the Back Cover
Introduction to WINbugs for Ecologists is an introduction to Bayesian statistical modeling, written for ecologists by an ecologist, using the widely available WinBUGS package. Examples are placed within a comprehensive and largely non-mathematical overview of linear, generalized linear (GLM), mixed and generalized linear mixed models (GLMM). This book will be of interest to any quantitative scientist who uses regression-type models, especially ecologists, agronomists, geologists, epidemiologists, sociologists, and psychologists. This book:
- Teaches by example rather than by equations.
- Contains examples based on simulated data along with fully commented R code for the generation of these data sets.
- Is full integrated with program R-all analyses are conducted by calling program WinBUGS from within program R.
Dr. Kéry is a population ecologist with the Swiss Ornithological Institute. He is the author of over 40 peer-reviewed journal articles on a wide range of topics, including the analysis of large-scale monitoring programs, demographic population analyses, experimental design for animal and plant surveys, and the population ecology of rare species.