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. Appropriate for use as either 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, the Primer also serves as a resource for environmental
professionals who need to use and interpret statistics daily but
have little or no formal training in the subject. The book is
divided into four parts. Part I discusses the fundamentals of
probability and statistical thinking. It introduces the logic and
language of probability (Chapter 1), explains 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 discusses how to successfully design
and execute field experiments and sampling studies. Topics include
design strategies (Chapter 6), a 'bestiary' of experimental designs
(Chapter 7), and transformations and data management (Chapter 8).
Part III discusses specific analyses, and covers the material that
is the main core of most statistics texts. Topics include
regression (Chapter 9), analysis of variance (Chapter 10),
categorical data analysis (Chapter 11), and multivariate analysis
(Chapter 12). Part IV-new to this edition-discusses two central
topics in estimating important ecological metrics. Topics include
quantification of biological diversity (Chapter 13) and estimating
occupancy, detection probability, and population sizes from marked
and unmarked populations (Chapter 14). The book includes a
comprehensive glossary, a mathematical appendix on matrix algebra,
and extensively annotated tables and figures. Footnotes introduce
advanced and ancillary material: some are purely historical, others
cover mathematical/statistical proofs or details, and still others
address current topics in the ecological literature. Data files and
code used for some of the examples, as well as errata, are
available online.
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