Experimental design and data analysis for biologists
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Author
Contributions
- Keough, Michael J. - Contributor
Publication
2003 - Cambridge University Press, Cambridge, UK, England
Language
English
Word Count
134,250 words, Guess
Page Count
537 pages
Identifiers
- Internet Archiveexperimentaldesi0000quin
- Internet Archiveexperimentaldesi00quin_860
- ISBN-139780521009768
- ISBN-139780521811286
- ISBN-100521811287
and 8 more
- ISBN-100521009766
- LibraryThing435574
- Library of Congress Control Number2001037845
- ISBN-139780521009766
- OCLC Control Number47254190
- Better World Books9780521811286
- Better World Books9780521009768
- Open LibraryOL22243050M
Classifications
- DDC570/.1/5195
- LCCQH323.5 .Q85 2002
Description
Publisher Description (unedited publisher data) An essential textbook for any student or researcher in biology needing to design experiments, sampling programs or analyse the resulting data. The text begins with a revision of estimation and hypothesis testing methods, covering both classical and Bayesian philosophies, before advancing to the analysis of linear and generalized linear models. Topics covered include linear and logistic regression, simple and complex ANOVA models (for factorial, nested, block, split-plot and repeated measures and covariance designs), and log-linear models. Multivariate techniques, including classification and ordination, are then introduced. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. The main analyses are illustrated with many examples from published papers and there is an extensive reference list to both the statistical and biological literature. The book is supported by a web-site that provides all data sets, questions for each chapter and links to software.
Subjects
Topics
Other Editions
- Experimental design and data analysis for biologists
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