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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


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Book ID Asin: 0878932690
Book Title: A Primer Of Ecological Statistics
Book Author: Nicholas J. Gotelli,Aaron M. Ellison
Book Format and Price:
Book Format Name: Paperback
Book Format Price: $17.52
Book Format Name: MassMarket Paperback
Book Format Price: $53.18
Book Price: unknown
Book Category: Books, New, Used & Rental Textbooks, Science & Mathematics and unknown
Book Rating: 42 ratings

A Primer Of Ecological Statistics by Nicholas J. Gotelli,Aaron M. Ellison Book Review

Name: M. Fobes
Rating: 5.0 out of 5 stars
Title: Fight your fear of stats with this book.
Date: Reviewed in the United States on November 7, 2013
Review: A great book which explains, in 'understandable' detail, the statistical tests used for understanding the world around us. It describes each test, how it works (mathematically), when it can/can't-should/shouldn't be used, its weaknesses, alternative tests, and so on. It's so easy a cave man can do it! I wish I had this book before I started my graduate education at Auburn University. (MS, Fishery Science).

Seriously, it make statistics much easier to understand. I took Experimental stats 1 and 2 at Auburn, they were good classes, but this book is just so good.

It's an absolute MUST-HAVE for any aspiring biologist. You can't be a biologist without coming to terms with stats.

Name: Aaron Dickey
Rating: 5.0 out of 5 stars
Title: Recent PhD Grad
Date: Reviewed in the United States on June 25, 2011
Review: Used my advisor's copy to study for my preliminary exams. I loved it so much that now I am buying it. I agree with the reviewer who said this book is not for the beginner. That being said, there is a rich background of historical, philisophical, and practical points about statistics and how it applies to science that I just loved it. I recommend this book to any graduate student in an ecological field. If you need to bone up on your statistics and already forgot everything you learned in your clinical statistics class (because there weren't any ecological examples), this book is for you!

Name: E. Raslich
Rating: 5.0 out of 5 stars
Title: For the Scientist with little statistical background
Date: Reviewed in the United States on November 18, 2012
Review: A Primer of Ecological Statistics was a fantastic read and I'm not even finished. This is not a textbook. it's more like a quick, background and how to manual for the classic statistical tests and reasoning. If you're not well versed in math, that's okay. They use logical examples that are communicated well through both stories and proofs. Pick this up if you're going into the sciences or statistics with little background in statistics, want to learn how to write well-formed hypotheses, or just need to be able to read scientific journals with better comprehension. You won't regret it.

Name: fishbio
Rating: 5.0 out of 5 stars
Title: A great tool for better understanding of ecological stats
Date: Reviewed in the United States on January 17, 2011
Review: This text has really helped me gain a better grasp on the stats I use in fisheries ecology. Even in grad school I struggled with stats. We used Zar's "Biostatistical Analysis" text, which is a great book, but very dense and sometimes hard to read. The examples that Gotelli uses are very applicable and easy to follow. Since buying the text, I have met two professors where I work with this book. They both like it as well. I think it's a great supplemental or stand-alone text to increase your understanding of ecological statistics.

Name: CynBio
Rating: 5.0 out of 5 stars
Title: A book that's become my go-to source.
Date: Reviewed in the United States on February 1, 2011
Review: I bought this a few years ago because it was required for a field ecology course. Over time, it's proven to be the best statistics resource that I have - even better than the internet. My field is behavioral ecology, and while it's a little light on the non-parametrics often necessary for behavior (Sokal and Rohlf for those), it's absolutely great for the statistics necessary for ecological and morphological measurements. Very well written, right on that delicate balance between overly dumbed-down and overly jargoned-up.

Name: Canobbio Sergio
Rating: 5.0 out of 5 stars
Title: Applied statistics clearly explained
Date: Reviewed in the United States on July 22, 2011
Review: This is a GREAT book to be introduced to statistics applied to the environment and populations. It provides ready-to-use information for any kind of experimental design.
The title could even be misleading, because: (1) this is not a primer, it explains A LOT of analytical procedures and experiments (I never saw a primer explaining how and when to use a two-way ANOVA split-plot); (2) it could be a great reading also for people coming from different fields of study (from sociology to chemistry).

Name: jL
Rating: 4.0 out of 5 stars
Title: Very challenging read, but worthwhile
Date: Reviewed in the United States on March 11, 2014
Review: While one may have to be in an optimal state of mind before sitting down with this book, it is definitely worth the time going through the different quantitative and experimental methods that ecologists use in evaluating the biosphere for those who will need such tools in going about their field work.

Name: N-Singh
Rating: 4.0 out of 5 stars
Title: Useful for Theory
Date: Reviewed in the United States on September 27, 2011
Review: This text is very useful for understanding the theory behind statistics. It also attempts to help in decifering how to read statistical results. I wish I used it more before my first exam!

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