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A Primer of Ecological Statistics

Second Edition

Nicholas J. Gotelli and Aaron M. Ellison

November 2012

ISBN: 9781605350646

614 pages
Paperback

In Stock

Price: £91.99

Explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. If you are a lecturer interested in adopting this title for your course, please contact your Oxford representative to arrange a local price.

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Description

Published by Sinauer Associates, an imprint of Oxford University Press.

A Primer of Ecological Statistics, Second Edition, explains fundamental material in probability theory, experimental design, and parameter estimation for ecologists and environmental scientists. The book emphasizes a general introduction to probability theory and provides a detailed discussion of specific designs and analyses that are typically encountered in ecology and environmental science.

About the Author(s)

Nicholas J. Gotelli and Aaron M. Ellison

Nicholas J. Gotelli is Professor in the Department of Biology at the University of Vermont. He graduated with a B.A. from the University of California, Berkeley in 1980, and earned his Ph.D. at Florida State University in 1985. He is also the author of A Primer of Ecology, Fourth Edition (2008), Null Models in Ecology (with Gary R. Graves; 1996), A Field Guide to the Ants of New England (with Aaron M. Ellison, Elizabeth J. Farnsworth, and Gary D. Alpert; 2012), and EcoSim, an ecological software package. His research interests include: the evolutionary ecology of carnivorous plants, heat shock proteins and the responses of ant assemblages to climate change, environmental proteomics, biogeography, and statistical ecology. Dr. Gotelli currently serves on the editorial boards of Ecology, The Journal of Biogeography, Scientific Reports, and Myrmecological News.

Aaron M. Ellison is Senior Research Fellow in Ecology at the Harvard Forest, and Adjunct Professor in the Graduate Program in Organismic and Evolutionary Biology at the University of Massachusetts at Amherst. He received a B.A. in 1982 from Yale University and a Ph.D. from Brown University in 1986. Dr. Ellison received the National Science Foundation's Presidential Faculty Fellow award in 1992 for "demonstrated excellence and continued promise both in scientific and engineering research and in teaching future generations of students to extend and apply human knowledge." He is also the author of A Field Guide to the Ants of New England (with Nicholas J. Gotelli, Elizabeth J. Farnsworth, and Gary D. Alpert; 2012). His research foci include: food web dynamics, community ecology of wetlands and forests, evolutionary ecology of carnivorous plants, and the application of Bayesian inference to ecological research and environmental decision-making.

Table of Contents

    PART I. Fundamentals of Probability and Statistical Thinking
    1:An Introduction to Probability
    2:Random Variables and Probability Distributions
    3:Summary Statistics: Measures of Location and Spread
    4:Framing and Testing Hypotheses
    5:Three Frameworks for Statistical Analysis
    PART II. Designing Experiments
    6:Designing Successful Field Studies
    7:A Bestiary of Experimental and Sampling Designs
    8:Managing and Curating Data
    PART III. Data Analysis
    9:Regression
    10:The Analysis of Variance
    11:The Analysis of Categorical Data
    12:The Analysis of Multivariate Data
    PART IV. Estimation
    13:The Measurement of Biodiversity
    14:Detecting Populations and Estimating their Size

Reviews

"Things that set this volume apart from the ordinary include short discussions of more advanced methods at the end of most chapters, a full chapter on data management, two chapters on study design, and wonderful footnotes with historical notes and short biographies." - Philip Dixon, The Quarterly Review of Biology

"Many ecology-related degrees require only a single statistics course, leaving a wide gap between students' knowledge and what they need to know. Gotelli and Ellison's book" - written by ecologists with extensive experience teaching graduate and undergraduate statistics courses

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