Ecological Models and Data in R

Benjamin M. Bolker

ISBN 10: 0691125228 / ISBN 13: 9780691125220

Published by Princeton University Press, US, 2008

About this Item

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics.* Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R * Step-by-step instructions for fitting models to messy, real-world data * Balanced view of different statistical approaches * Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) * Techniques for data manipulation and graphical display * Companion Web site with data and R code for all examples.

Seller Inventory # LU-9780691125220

Bibliographic Details

• Title: Ecological Models and Data in R
• Publisher: Princeton University Press, US
• Publication Date: 2008
• Language: English
• ISBN 10: 0691125228
• ISBN 13: 9780691125220
• Binding: Hardback
• Condition: New
• Weight: 992 grams

About this title

Synopsis

Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics.

• Practical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R


• Step-by-step instructions for fitting models to messy, real-world data


• Balanced view of different statistical approaches


• Wide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling)


• Techniques for data manipulation and graphical display


• Companion Web site with data and R code for all examples

About the Author

Benjamin M. Bolker is a theoretical ecologist in the departments of Mathematics & Statistics and Biology at McMaster University.