Ecological Models and Data in R / / Benjamin M. Bolker.
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...
Saved in:
Superior document: | Title is part of eBook package: De Gruyter Princeton University Press eBook-Package Backlist 2000-2013 |
---|---|
VerfasserIn: | |
Place / Publishing House: | Princeton, NJ : : Princeton University Press, , [2008] ©2008 |
Year of Publication: | 2008 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (408 p.) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Table of Contents:
- Frontmatter
- Contents
- Acknowledgments
- 1. Introduction and Background
- 2. Exploratory Data Analysis and Graphics
- 3. Deterministic Functions for Ecological Modeling
- 4. Probability and Stochastic Distributions for Ecological Modeling
- 5. Stochastic Simulation and Power Analysis
- 6. Likelihood and All That
- 7. Optimization and All That
- 8. Likelihood Examples
- 9. Standard Statistics Revisited
- 10. Modeling Variance
- 11. Dynamic Models
- 12. Afterword
- Appendix. Algebra and Calculus Basics
- Bibliography
- Index of R Arguments, Functions, and Packages
- General Index