Applied Statistical Modelling for Ecologists: A Practical Guide to Bayesian and Likelihood Inference Using R, JAGS, NIMBLE, Stan and TMB

Applied Statistical Modelling for Ecologists provides a gentle introduction to applied statistics, covering linear, generalized, mixed, and hierarchical models, with examples from ecology and environmental sciences. It is effective for classroom use and self-study, and covers the foundational method of maximum likelihood.

Format: Paperback / softback
Length: 550 pages
Publication date: 01 May 2024
Publisher: Elsevier - Health Sciences Division

Applied Statistical Modelling for Ecologists is a comprehensive guide to essential statistical models, offering a gentle introduction to linear, generalized, mixed, and hierarchical models. It provides a practical approach to model fitting using popular software packages like JAGS, NIMBLE, Stan, and TMB, and also explains the foundational method of maximum likelihood in a way that ecologists can easily understand. This book is a successor to the widely used Introduction to WinBUGS for Ecologists and is suitable for both classroom use and self-study. The examples are drawn from ecology and the environmental sciences, but the underlying statistical models are widely applicable across many disciplines. Whether you are interested in likelihood-based or Bayesian modeling, this book will help you learn and quickly become proficient in statistical modelling, with a focus on the model-fitting engines covered.

Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780443137150