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.

Product Details

• Amazon Sales Rank: #281199 in Books
• Published on: 1994-11-07
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 880 pages

Customer Reviews

Invaluable!
If you use statistics in a biological/ecological/biomedical field then this book is essential. It sits next to my computer within easy reach as I refer to it so often. It discusses a huge number of topics with excellent and relevant examples. It covers a great raft of multivariate and univariate staistics in one single text, which is important when learning the subject as all the information you need is right at your fingertips. If there is one area where it is let down slightly is that it doesn't discuss regression based data analysis methods, such as Principle components analysis or canonical correspeondence analysis, which are widely used in ecological studies (but then again I have my Legendre & Legendre (1999) "Numerical Ecology" for that). This is one of the few books I have that I would class as being truly invaluable!

The Standard Introductory Textbook on Biostatistics
"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.