A Primer of Ecological Statistics
Nicholas J. Gotelli is a Professor of Biology at the University of Vermont. He received his B.A. in 1980 from the University of California, Berkeley, and his Ph.D. in 1985 from Florida State University. He also wrote 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 tool.
Aaron M. Ellison is a Senior Research Fellow in Ecology at the Harvard Forest and an Adjunct Professor at the University of Massachusetts at Amherst's Graduate Program in Organismic and Evolutionary Biology.
A Primer of Ecological Statistics, Second Edition, is a primer for ecologists and environmental scientists on probability theory, experimental design, and parameter estimates. The book focuses on a broad introduction to probability theory as well as a detailed examination of specific designs and analyses used in ecology and environmental science. The Primer is suitable for use as a stand-alone or supplementary text for upper-division undergraduate or graduate courses in ecological and environmental statistics, ecology, environmental science, environmental studies, or experimental design. It is also useful for environmental professionals who must use and interpret statistics on a daily basis but have little or no formal training in the subject.
The novel is broken into four sections. Part I covers the basics of probability and statistical thinking. It describes common statistical distributions used in ecology (Chapter 2) and important measures of central tendency and spread (Chapter 3), explains P-values, hypothesis testing, and statistical errors (Chapter 4), and introduces frequentist, Bayesian, and Monte Carlo methods of analysis (Chapter 5).
Part II addresses how to develop and carry out successful field experiments and sampling investigations. Design strategies (Chapter 6), a "bestiary" of experimental designs (Chapter 7), and transformations and data management are among the topics covered (Chapter 8).
Part III explores specific analyses and covers the content included in the majority of statistics textbooks. Regression (Chapter 9), analysis of variance (Chapter 10), categorical data analysis (Chapter 11), and multivariate analysis are all covered (Chapter 12).
Part IV, which is new to this version, covers two critical themes in estimating essential ecological parameters. Quantification of biological variety (Chapter 13) and calculating occupancy, detection probability, and population sizes from marked and unmarked populations are among the topics covered (Chapter 14).
A complete vocabulary, a mathematical appendix on matrix algebra, and extensively annotated tables and illustrations are included in the book. Footnotes introduce advanced and auxiliary material: some are essentially historical, some provide mathematical/statistical proofs or details, and still others address current ecological literature problems. The book is considered one of the best books on biostatistics.
Author: Nicholas J. Gotelli and Aaron M. Ellison
Link to buy: https://www.amazon.com/Primer-Ecological-Statistics-Nicholas-Gotelli/dp/1605350648/
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Best Sellers Rank: #197,714 in Books
#17 in Ecology (Books)
#18 in Biostatistics (Books)
