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A Primer Of Ecological Statistics
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Average Rating:  out of 9 Reviews
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Price: $41.95
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Sale: $35.95
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Manufacturer: Sinauer Associates
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EAN (European Article Number): 9780878932696
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Number of Items: 1
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Binding: Paperback
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Author: Nicholas J. Gotelli::Aaron M. Ellison
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Publisher: Sinauer Associates
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Edition: 1
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Dewey Decimal Number: 577.015195
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Publication Date: 2004-05
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Reading Level: 492
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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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Customer Reviews
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Review Summary: A simple and great book! |
Date: 2008-11-15 |
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Details: I took many statistic course, but not until I read this book, I didn't truly understand what is the basic concept of those common statistic measures. |
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Review Summary: Not quite for the beginner |
Date: 2008-06-12 |
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Details: While the preface and first chapter of this book do a good job of simply explaining the terms used in statistics, I find that the authors needed to spend more time fleshing out the concepts. I've been looking for a statistics book that focuses on ecology and the environment, and I believe this one can be it; I would like to have seen different scenarios used in the examples, rather than one scenario, then a rapid shuffle forward to the next example. A good one to add to a statistics course, or to discuss in a class setting...or even with someone who knows statistics inside-out. |
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Review Summary: A MUST-HAVE for all researchers in ecology or wildlife science! |
Date: 2007-11-04 |
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Details: For all you ecology and nature types, this is the stats textbook for you. These guys explain all the important stats concepts using examples I understand, like ant hills and bird density, and they cite real life experiments, give real experimental design suggestions, etc. Never before have I understood complex statistical concepts as well as I do after reading this book. And it's enjoyable reading! They really have a sense of humor. It's a must-have for everyone doing research in the fields of ecology or wildlife science! |
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Review Summary: A nice primer, with some great code to boot |
Date: 2007-10-22 |
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Details: This is a wonderful, clear, concise guide to what ecologists need to know for basic data analysis. It's a great read, cover to cover, or an excellent shelf reference. Also, for those who want more detail, some of the example code is posted up at http://harvardforest.fas.harvard.edu/personnel/web/aellison/publications/primer/primer.html |
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Review Summary: Absolutely the best intro stats book for ecologists |
Date: 2007-04-03 |
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Details: I'm a biologist and a writer. I am not a mathematician. This book presents a broad array of statistical concepts in a way that even I can understand. You won't have to reread paragraph after paragraph, because the text is completely straightforward. Don't expect to use this as your stand-alone statistics reference, but do expect to use it as a primary source for ecology-related techniques. A "must have" for all biologists. |
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