Authors: Robert R. Sokal, F. James Rohlf
Publisher: W.H. Freeman Company
Category: Book

List Price: ~~$55.75~~
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Media: Hardcover
Edition: 2nd
Number Of Items: 1
Pages: 859
Shipping Weight (lbs): 3.1
Dimensions (in): 9.6 x 6.4 x 1.8

ISBN: 0716712547
EAN: 9780716712541
ASIN: 0716712547

Publication Date: January 1994
Availability: Usually ships in 1-2 business days

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Editorial Reviews:

Product Description
In addition to the incorporation of computer calculation, this new edition features: a chapter on handling data that has been updated to stay current with the development of computer hardware and software; the expansion of a number of important topics, including the revised Kolmogrov-Smirnov test, the Mantel-Haenszel procedure and logistical regression; and the inclusion of additional homework exercises to provide students with more practice and more illustration.

Customer Reviews: Read 10 more reviews...

5 out of 5 stars

good reference for bioinformatics applications December 12, 2008
I have been using this book borrowed from someone else, and decided to buy it finally. It is a good book for people who know the basics of probability and statistics, and want to quickly look up applications for use in their work. The book covers a wide range of commonly used statistical tools and is fairly lucid in explaining their use, most of the time.

4 out of 5 stars

good reference February 9, 2008
31 out of 31 found this review helpful

I have previously reviewed this book. My review pertains to the second edition as that is the only edition I have. br /Recently I did some consulting for a colleague. He had some data that he wanted to test for the presence of a single outlier. I referred him to the procedures due to Grubbs and Dixon. I also mention the book by Barnett and Lewis which has the most detailed account of outlier methods. However, Barnett and Lewis is so detailed that it can be overwhelming for a beginner. Fortunately my friend has a copy of Sokal and Rohlf's book. I believe he has the same second edition that I have. They provide a good elementary treatment of these methods and have tables to use. Unfortunately, I discovered that the tables are in a separate supplement. My colleague has the supplement but I don't. The reader should be aware that the supplement is needed to implement some of the procedures in the book that require tables. It is not expensive but it is essential. I imagine that the same is true for the third edition but I am not sure. br /br /This book is commonly used in the medical device/ pharmaceutical clinical trials industry. A colleague of mine who I worked with in medical devices used this text as one of his primary statistical reference books. He is not a statistician but rather a regulatory affairs specialist.br /br /

5 out of 5 stars

Biometry February 8, 2008
0 out of 1 found this review helpful

The book is delivered on time and it was sent in the protective package. I received the book in a very good condition.

5 out of 5 stars

THE Biometry textbook of choice August 20, 2007
I use this as a personal reference. Have examined many dozens of statistics books and this is the Bible, as far as I am concerned. It is clear, has excellent coverage, and is actually written engagingly! If you are going to have only one statistics book--it should be this one.

5 out of 5 stars

The Standard Introductory Textbook on Biostatistics May 6, 2007
33 out of 33 found this review helpful

"Biometry" should be regarded - if it isn't already - as the standard practical guide to both parametric and nonparametric univariate biostatistics. Although it is aimed primarily for researchers and students in the biological sciences and medicine, there are ample practical examples which should be useful to those in psychology, sociology and other fields where knowledge of statistics and statistical methods is quite essential. I own a copy of the second edition, which I've had for more than two decades, regarding it as my "go-to" book if I have questions about various univariate statistical techniques. As another reviewer has noted, this book is especially strong in discussing nonparametric statistics. I might add too that it is quite good in discussing tests of significance related to Analysis of Variance (ANOVA) and simple linear regression. Much to their credit, the authors have written a superb text in clear, often concise, English that could be used as a self-teaching introductory guide for a practical understanding of univariate biostatistics. However, I will note that those interested in learning the theoretical foundations of the parametric and nonparametric univariate biostatistics covered in "Biometry" should consult another book which does emphasis these topics: Zarr's "Biostatistical Analysis", which I agree is a superb introductory text on theoretical biostatistics.

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