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Statistics for Environmental Biology and Toxicology

Contributor(s): Bailer, A John (Author)

ISBN: 9780412047312

Publisher: Routledge

Hardcover
$249.99
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Pub Date: July 1, 1997

Dewey: 615.9020727

LCCN: 97067486

Lexile Code: 0000

Features: Illustrated

Target Age Group: NA to 18

Physical Info: 1.25" H x 9.41" L x 6.34" W ( 1.93 lbs) 596 pages

Series: Chapman & Hall/CRC Interdisciplinary Statistics

Descriptions, Reviews, etc.

Description: Statistics for Environmental Biology and Toxicology presents and illustrates statistical methods appropriate for the analysis of environmental data obtained in biological or toxicological experiments. The text illustrates statistical methods and concepts with a wide range of biological applications. Illustrative examples with data from the environmental literature are included, as are end-of-chapter exercises. For the more complex analyses, extensive examples including SAS and S-PLUS programming code are provided to assist the reader when implementing the methods in practice.

Review Quotes: "Teachers of statistics to students from other disciplines could will find this book useful, both for its condensed summaries of some of the more sophisticated techniques-in particular that for generalized linear models is helpful and also for the copious exercises and worked examples." -Short Book Reviews of the ISI "...I strongly recommend this text and believe it to be an excellent supplement for any biostatistics course or courses in related disciplines." -Australian & New Zealand Journal of Statistics "This book is an excellent source for information about the relevant statistical methods with a strong emphasis on applications. This is one of the best books that I have seen recently." -Technometrics, Vol. 40, No.3 "The many examples are well selected and illustrate the use of the methods introduced on relevant data."... the book introduces many statistical concepts, it is concise but careful and it has many good examples.... could be used as a basic statistical textbook for researchers in environmental biology." -Statistics in Medicine, Vol. 20: 1143-1152, 2001

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