Experimental Design and Data Analysis for Biologists
by Gerry P. Quinn and Michael J. Keough


Overview - 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.  Read more...

 
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More About Experimental Design and Data Analysis for Biologists by Gerry P. Quinn; Michael J. Keough
 
 
 
Overview
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.

 
Details
  • ISBN-13: 9780521009768
  • ISBN-10: 0521009766
  • Publisher: Cambridge University Press
  • Publish Date: April 2017
  • Page Count: 537
  • Dimensions: 9.6 x 7.4 x 0.9 inches
  • Shipping Weight: 2.56 pounds


Related Categories

Books > Science > Life Sciences - Biology
Books > Science > Research & Methodology

 
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