Experimental Design and Data Analysis for Biologists
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Description
An essential textbook for any student or researcher in biology needing to design experiments, sample 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…
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Key features
- An essential textbook that covers the full range of topics required by any biologist designing experiments or analysing the resulting data
- Extensive worked examples using real data sets
- Web page support with downloadable data sets, example questions and relevant links at http://www.zoology.unimelb.edu.au/qkstats
About the book
- DOI https://doi.org/10.1017/CBO9780511806384
- Subjects Ecology and Conservation,Life Sciences,Quantitative Biology, Biostatistics and Mathematical Modeling
- Editions 1st Edition
- Format: Digital
- Publication date: 05 June 2012
- ISBN: 9780511806384
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