Ecological Models and Data in R | 
enlarge | Author: Benjamin M. Bolker Publisher: Princeton University Press Category: Book
List Price: $55.00 Buy New: $39.60 You Save: $15.40 (28%)
New (17) Used (3) from $39.60
Rating: 3 reviews Sales Rank: 42650
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
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| Editorial Reviews:
Product Description piEcological Models and Data in R/i 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./pulliPractical, beginner-friendly introduction to modern statistical techniques for ecology using the programming language R /liliStep-by-step instructions for fitting models to messy, real-world data /liliBalanced view of different statistical approaches /liliWide coverage of techniques--from simple (distribution fitting) to complex (state-space modeling) /liliTechniques for data manipulation and graphical display /liliCompanion Web site with data and R code for all examples/li/ul
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| Customer Reviews:
excellent book November 6, 2008 Jim The best book I ever read about statistical modeling. Goes into details but still very accessible.
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.
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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