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Ecological Models and Data in R

Ecological Models and Data in R

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Author: Benjamin M. Bolker
Publisher: Princeton University Press
Category: Book

List Price: $55.00
Buy New: $39.60
You Save: $15.40 (28%)



New (16) Used (3) from $39.60

Rating: 4.5 out of 5 stars 3 reviews
Sales Rank: 90220

Media: Hardcover
Edition: 508
Pages: 408
Number Of Items: 1
Shipping Weight (lbs): 2.2
Dimensions (in): 10.1 x 7 x 1.1

ISBN: 0691125228
Dewey Decimal Number: 577
EAN: 9780691125220
ASIN: 0691125228

Publication Date: July 21, 2008
Shipping: Eligible for Super Saver Shipping
Availability: Usually ships in 24 hours

Also Available In:

  • Paperback - Ecological Models and Data in R

Similar Items:

  • Hierarchical Modeling and Inference in Ecology: The Analysis of Data from Populations, Metapopulations and Communities
  • The R Book
  • Models for Ecological Data: An Introduction
  • Data Analysis Using Regression and Multilevel/Hierarchical Models
  • Bayesian Computation with R (Use R)

Editorial Reviews:

Product 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



Customer Reviews:

5 out of 5 stars excellent book   November 6, 2008
Jim
The best book I ever read about statistical modeling. Goes into details but still very accessible.


4 out of 5 stars Nice book   September 5, 2008
flobpf (Michigan, USA)
1 out of 1 found this review helpful

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.


4 out of 5 stars Versatile book   August 28, 2008
Arturo T. De Zan (Barcelona, Spain)
2 out of 2 found this review helpful

Very nice book, especially versatile for many applications other than ecology problems. Clarity on writing.

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