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(More customer reviews)Comprehensible, comprehensive, and interesting statistical texts are as rare as the Tasmanian Tiger. This text is very comprehensive and is loaded with interesting examples and does an excellent job of presenting the scientific method. It's not always as easy to follow as I would like, but I deal with this by recommending to my students that they read the assignment after, instead of before the lecture. I cover the first 12 chapters (through covariance) in my upper division Biometry course. I'm an ecologist and have enjoyed learning much that was never covered in my undergraduate biometry and two graduate statistics courses. This would be an excellent text for graduate courses.
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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.
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