Experimental Designing and Data Analysis in Agriculture & Biology

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.

The main features of the book are as follows:

• Provides an introduction to both experimental design and linear regression
• Takes an applied approach, with an emphasis on explaining the practical application of the methods through real examples and the use of software
• Focuses on examples and applications in the agricultural and biological sciences
• Includes implementation of the methods in both Gen Stat and R
• Offers problems and exercises in all the chapters