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Subject to statutory exception and to the provision of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press.
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Cambridge, New York, Melbourne, Madrid, Cape Town, Singapore, São Paulo Cambridge University Press The Edinburgh Building, Cambridge , United Kingdom Published in the United States of America by Cambridge University Press, New York Information on this title: © G.
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Both authors have extensive experience teaching experimental design and analysis courses and have provided advice on the design and analysis of sampling and experimental programs in ecology and environmental monitoring to a wide range of environmental consultants, university and government scientists.Įxperimental Design and Data Analysis for Biologists Gerry P. M i c h a e l K eough is in the Department of Zoology at the University of Melbourne, with research interests in marine ecology, environmental science and conservation biology. Gerry Qu i n n is in the School of Biological Sciences at Monash University, with research interests in marine and freshwater ecology, especially river floodplains and their associated wetlands. The book is supported by a website that provides all data sets, questions for each chapter and links to software. 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. Special emphasis is placed on checking assumptions, exploratory data analysis and presentation of results. Multivariate techniques, including classification and ordination, are then introduced.
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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. 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. Experimental Design and Data Analysis for Biologists An essential textbook for any student or researcher in biology needing to design experiments, sampling programs or analyze the resulting data.