Experimental Design and Data Analysis for Biologists
Editorial Reviews
Review
'At last, a book that provides a readable introduction to nuances of statistical methods and analysis ... a wonderful book that is packed with lots of practical advice ...'. Journal of Experimental Marine Biology and Ecology
'... this is clearly written text with a simple no-nonsense approach to the topic.' TEG News
' ... the book is well written and well presented with a good range of interesting and realistic examples ... the book gave a very substantial and worthwhile study of good statistical practice in the design and analysis of biological experiments. I recommend it to anyone involved in quantitative biological research.' Journal of Agricultural Science
Book Description
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.
Experimental Design and Data Analysis for Biologists
Experimental Design and Data Analysis for Biologists,Gerry P. Quinn,Michael J. Keough,Cambridge University Press,0521009766,Biometry,Life Sciences - Biology - General,Research & Methodology,Science,Science/Mathematics,Applied mathematics,Life sciences: general issues,Science / Biology
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