Ecological Models and Data in R

Princeton University Press
2
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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
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About the author

Benjamin M. Bolker is a theoretical ecologist in the departments of Mathematics & Statistics and Biology at McMaster University.
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Reviews

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Additional Information

Publisher
Princeton University Press
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Published on
Jul 1, 2008
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Pages
408
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ISBN
9781400840908
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Language
English
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Genres
Computers / Mathematical & Statistical Software
Mathematics / Probability & Statistics / General
Nature / Ecology
Reference / Research
Science / Research & Methodology
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Content Protection
This content is DRM protected.
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Read Aloud
Available on Android devices
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Eligible for Family Library

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