# Ecological Models and Data in R

## Book Description

*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

### Table of Contents

Chapter 1. Introduction

Chapter 2. Exploratory data analysis and graphics

Chapter 3. Deterministic functions for ecological modeling

Chapter 4. Probability and stochastic distributions for ecological

Chapter 5. Stochastic simulation and power analysis

Chapter 6. Likelihood and all that

Chapter 7. Optimization and all that

Chapter 8. Likelihood examples

Chapter 9. Standard statistics revisited

Chapter 10. Modeling variance

Chapter 11. Dynamic models

Chapter 12. Afterword

Appendix A. Algebra and calculus basics

## Book Details

- Title: Ecological Models and Data in R
- Author: Benjamin M. Bolker
- Length: 408 pages
- Edition: 1
- Language: English
- Publisher: Princeton University Press
- Publication Date: 2008-07-21
- ISBN-10: 0691125228
- ISBN-13: 9780691125220

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