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| Ecological Models and Data in R
Hardcover
Edition: 508
Author: Benjamin M. Bolker
Publisher: Princeton University Press
Release Date: 2008-07-21
ISBN-10: 0691125228
ISBN-13: 9780691125220
List Price: $55.00
Average Customer Rating:
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Summaries and Customer Reviews are supplied by Amazon.com
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
excellent book
| Customer Rating: | | The best book I ever read about statistical modeling. Goes into details but still very accessible. |
Nice book
| Customer Rating:  | | I am a molecular biologist, trying to work my way through some ecological modeling. I found this book quite useful, since it has lot of examples and details. There is an online supplement for this book, where you can get all the scripts and pdf versions of the chapters, if you want. the R supplements, and the scripts give you a hands-on experience in handling the data in R. Tests like maximum likelihood, monte carlo are explained very well, and the R scripts help in understanding the nitty-gritties of programming. All in all, a good book. |
Versatile book
| Customer Rating: | | Very nice book, especially versatile for many applications other than ecology problems. Clarity on writing. |
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