9780878932696-0878932690-A Primer Of Ecological Statistics

A Primer Of Ecological Statistics

ISBN-13: 9780878932696
ISBN-10: 0878932690
Edition: 1
Author: Nicholas J. Gotelli, Aaron M. Ellison
Publication date: 2004
Publisher: Sinauer Associates Inc
Format: Paperback 492 pages
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Book details

ISBN-13: 9780878932696
ISBN-10: 0878932690
Edition: 1
Author: Nicholas J. Gotelli, Aaron M. Ellison
Publication date: 2004
Publisher: Sinauer Associates Inc
Format: Paperback 492 pages

Summary

A Primer Of Ecological Statistics (ISBN-13: 9780878932696 and ISBN-10: 0878932690), written by authors Nicholas J. Gotelli, Aaron M. Ellison, was published by Sinauer Associates Inc in 2004. With an overall rating of 3.5 stars, it's a notable title among other Biology (Biological Sciences) books. You can easily purchase or rent A Primer Of Ecological Statistics (Paperback) from BooksRun, along with many other new and used Biology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $1.23.

Description

A Primer of Ecological Statistics explains fundamental material in probability theory and experimental design 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 three 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).

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.

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