Vinicio J. Sosa, Simoneta Negrete-Yankelevich, and Gordon A. Fox:
Introduction
1: Michael A. McCarthy: Approaches to Statistical Inference
2: Earl D. McCoy: Having the Right Stuff: the Effects of Data
Constraints on Ecological Data Analysis
3: Shane A. Richards: Likelihood and Model Selection
4: Shinichi Nakagawa: Missing Data: Mechanisms, Methods and
Messages
5: Gordon A. Fox: What You Don't Know Can Hurt You: Censored and
Truncated Data in Ecological Research
6: Yvonne M. Buckley: Generalized Linear Models
7: Bruce E. Kendall: A Statistical Symphony: Instrumental Variables
Reveal Causality and Control Measurement Error
8: James B. Grace, Samuel M. Scheiner, and Donald R. Schoolmaster,
Jr.: Structural Equation Modeling: Building and Evaluating Causal
Models
9: Jessica Gurevitch and Shinichi Nakagawa: Research Synthesis
Methods in Ecology
10: Simoneta Negrete-Yankelevich and Gordon A. Fox: Spatial
Variation and Linear Modeling of Ecological Data
11: Marc J. Lajeunesse and Gordon A. Fox: Statistical Approaches to
the Problem of Phylogenetically Correlated Data
12: Jonathan R. Rhodes: Mixture Models for Overdispersed Data
13: Benjamin M. Bolker: Linear and Generalized Linear Mixed
Models
Appendix
Gordon Fox received his Ph.D. from the University of Arizona and
was a postdoctoral fellow at the University of California, Davis.
He is currently Professor in the Department of Integrative Biology
at the University of South Florida. His research involves
theoretical issues in ecology and population biology, and empirical
studies of plant populations. He teaches at both the graduate and
undergraduate levels, and supervises M.S. and Ph.D. students. He is
co-author
(with J. Gurevitch and S. M. Scheiner) of the textbook The Ecology
of Plants, and co-editor (with C. K. Kelly and M. G. Bowler) of
Temporal Niche Dynamics and Ecological Process. Fox is an
associate
editor of Ecology, and a Fellow of the American Association for the
Advancement of Science (AAAS). Simoneta Negrete-Yankelevich
received her doctorate from the University of Edinburgh, and was a
postdoctoral fellow within the Conservation and Sustainable
Management of Belowground Biodiversity project (GEF-UNEP-TSBF). She
is currently a researcher in the Functional Ecology Network of the
Instituto de Ecología A.C. in Mexico and a member of the Mexican
National System of Researchers. She
works on issues related to the temporal and spatial dimensions of
disturbance in tropical agroecosystems. She coordinates and
participates in research projects related to the long term effects
of human
disturbance on soil biota, fertility and functioning in the
tropics. She teaches statistics courses for graduate students on
linear models, spatial statistics, and multivariate statistics, and
supervises M.S. and Ph.D. theses related to spatial issues in soil
ecology. Vinicio J. Sosa received his Ph.D. from the University of
Miami, and has an Applied Statistics Specialization from the
Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas
(IIMAS) at the Universidad Nacional
Autónoma de México (UNAM). He is a researcher in the Instituto de
Ecología A.C. in Mexico and a member of the Mexican National System
of Researchers (SNI II). Sosa has extensive experience in
applied
ecological problems, especially on environmental impacts of
infrastructure development. His current research focuses on the
effect of landscape fragmentation on flying vertebrate communities,
and on mutualistic relationships between columnar cacti and bats.
He teaches graduate-level statistics courses for the Instituto de
Ecología, A. C., and acts as consulting statistician within the
Instituto. He is associate editor of Acta Zoologica Mexicana.
We would be glad to adopt this as a textbook and recommend it as a
resource for graduate students who need to strengthen their
understanding of modern statistical approaches that can inform
ecological problems.
*Brian D. Inouye and Scott C. Burgess, The Quarterly Review of
Biology*
In this well-written and well-edited book, the authors successfully
convey an understanding of statistics, rather than just a menu of
statistical procedures. Ideas are explained preferentially by
examples and illustration, and mathematical formalism is held at a
minimum ... This book is a source of coherent statistical
understanding.
*Conservation Biology*
This is a rich selection of the new canon of ecological statistics.
Most examples are illustrated with the relevant R code, all of
which is available online. As a result, this is not just an
introduction to the theory underlying new approaches -- it is a
hands-on introduction to their use! Importantly, the chapters --
though cross-referenced -- are self-contained. As such, many
practising ecologists will be able to dip in to a chapter that
covers a particular problem that they are facing. That is a real
strength of this book and suggests that most ecological research
groups will benefit from access to at least one copy.
*British Ecological Society Bulletin*
Ecological Statistics: Contemporary Theory and Applications is an
amazing piece of work that deftly performs the unenviable task of
presenting the "need to know" methods of a complex field. ... This
book would be a valuable addition to any course asking students to
expand their statistical comfort zone, but also easily lends itself
to self-study for those wishing to join the conversation of
ecological statistics.
*Plant Science Bulletin*
Ecological Statistics opens with a commendable introduction that
makes some great points and provides an insightful big-picture
perspective.
*Megan D. Higgs, BioScience*
![]() |
Ask a Question About this Product More... |
![]() |