Statistical Computation for Environmental Sciences in R: Lab Manual for Models for Ecological Data

Book Details:

• Publisher: Princeton University Press

• Author: James S. Clark

• Language: English

• ISBN: 9780691122625

• Pages: 152

• Cover: Paperback

• Edition: Lab Manual

• Release Date: 03-06-2007

• Dimensions: 10.7 x 8.2 x 0.5 inches

About The Book:

Models for Ecological Data by James S. Clark is an essential guide for environmental scientists and ecologists seeking to navigate the revolution in the use of statistical models and data. This comprehensive text introduces modern modeling techniques and computational tools aimed at addressing complex ecological data sets.

The book begins with an accessible introduction to maximum likelihood methods, gradually advancing to Bayesian modeling and computation. Clark's approach makes complex topics approachable, requiring only basic knowledge of calculus and statistics. It covers both classical statistical methods and newer computational tools, illustrating how increasing data complexity motivates a shift to Bayesian approaches.

Key Features:

• A thorough treatment of classical and Bayesian statistical methods.

• Clear explanations of underlying distribution theory and algorithm development.

• Practical examples and real-world applications to reinforce learning.

• A focus on data modeling using the R language, with an accompanying lab manual.

• No advanced statistical background required; perfect for beginners and intermediate learners.

Models for Ecological Data is based on a popular course at Duke University and National Science Foundation-funded institutes, making it an excellent resource for both students and professionals in ecology, environmental science, and related fields.