Book Details
Orange Code:49436
Paperback:556 pages
Publications:
Categories:
Sections:
1. Estimation2. Hypothesis testing3. Graphical exploration of data4. Correlation and regression5. Multiple and complex regression6. Design and power analysis7. Comparing groups or treatments – analysis of variance8. Multifactor analysis of variance9. Randomized blocks and simple repeated measures: unreplicated two factor designs10. Split-plot and repeated measures designs: partly nested analyses of variance11. Analyses of covariance12. Generalized linear models and logistic regression13. Analyzing frequencies14. Introduction to multivariate analyses15. Multivariate analysis of variance and discriminant analysis16. Principal components and correspondence analysis17. Multidimensional scaling and cluster analysis18. Presentation of results
Description:
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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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