Experimental design and data analysis for biologists
By: Gerry P. Quinn, Michael J. Keough.
Contributors: Keough, Michael J.
Publisher: Cambridge University Press
Published: 2003
Place of publication: Cambridge, UK; New York
Language: eng
Number of pages: 537
ISBN-13: 9780521009766
Subjects: Biometry.
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.
Notes: Includes bibliographical references (p. [511]-526) and index.

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