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Experimental Design and Data Analysis for Biologists
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Experimental Design and Data Analysis for Biologists Paperback - 2002 - 1st Edition

by Gerry P. Quinn; Michael J. Keough


From the publisher

This essential textbook is designed for students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. The text begins with a revision of estimation and hypothesis testing methods, before advancing to the analysis of linear and generalized linear models. The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, log-linear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software.

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  • Title Experimental Design and Data Analysis for Biologists
  • Author Gerry P. Quinn; Michael J. Keough
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Pages 553
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press, Cambridge, UK
  • Date 2002-03-21
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • ISBN 9780521009768 / 0521009766
  • Weight 2.15 lbs (0.98 kg)
  • Dimensions 9.6 x 7.4 x 1.2 in (24.38 x 18.80 x 3.05 cm)
  • Library of Congress subjects Biometry
  • Library of Congress Catalog Number 2001037845
  • Dewey Decimal Code NA
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Experimental Design and Data Analysis for Biologists by Quinn, Gerry P.

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ISBN:"9780521009768
Cambridge University Press, 01 January 2002
Paperback, 553 pages
This essential textbook is designed for students or researchers in biology who need to design experiments, sampling programs, or analyze resulting data. The text begins with a revision of estimation and hypothesis testing methods, before advancing to the analysis of linear and generalized linear models. The chapters include such topics as linear and logistic regression, simple and complex ANOVA models, log-linear models, and multivariate techniques. The main analyses are illustrated with many examples from published papers and an extensive reference list to both the statistical and biological literature is also included. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software.
Item Price
$26.35
$31.62 shipping to USA