An essential textbook for any student or researcher in biology needing todesign experiments sample programs or analyse the resulting data. The textbegins with a... » 

An essential textbook for any student or researcher in biology needing todesign experiments sample programs or analyse the resulting data. The textbegins with a revision of estimation and hypothesis testing methods coveringboth classical and Bayesian philosophies before advancing to the analysis oflinear and generalized linear models. Topics covered include linear andlogistic regression simple and complex ANOVA models for factorial nestedblock splitplot and repeated measures and covariance designs and loglinearmodels. Multivariate techniques including classification and ordination arethen introduced. Special emphasis is placed on checking assumptionsexploratory data analysis and presentation of results. The main analyses areillustrated with many examples from published papers and there is an extensivereference list to both the statistical and biological literature. The book issupported by a website that provides all data sets questions for each chapterand links to software. «