Ecological models and data in R / Benjamin M. Bolker.

Format:

Book

Author/Creator:

Bolker, Benjamin M., 1967-

Contributor:

Rudolph G. Schmieder Fund.

Language:

English

Subjects (All):

Ecology--Statistical methods.

Ecology.

Ecology--Mathematical models.

Ecology--Simulation methods.

R (Computer program language).

Physical Description:

vii, 396 pages : illustrations ; 26 cm

Place of Publication:

Princeton : Princeton University Press, [2008]

Summary:

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.

Contents:

Introduction and background

Exploratory data analysis and graphics

Deterministic functions for ecological modeling

Probability and stochastic distributions for ecological modeling

Stochastic simulation and power analysis

Likelihood and all that

Optimization and all that

Likelihood examples

Standard statistics revisited

Modeling variance

Dynamic models

Afterword

Appendix: Algebra and calculus basics.

Notes:

Includes bibliographical references (pages [369]-382) and indexes.

Local Notes:

Acquired for the Penn Libraries with assistance from the Rudolph G. Schmieder Fund.

ISBN:

9780691125220

0691125228

9780691125237

0691125236

OCLC:

166273862

Publisher Number:

99935562056