Design of Experiments and Linear Regression in the Biological Sciences
Purchasing Options
Features
- 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 GenStat and R
- Offers problems and exercises in all the chapters
Summary
Written in simple language with relevant examples, this illustrative introductory book presents best practices in experimental design and simple data analysis. Taking a practical and intuitive approach, it only uses mathematical formulae to formalize the methods where necessary and appropriate. The text features extended discussions of examples that include real data sets arising from research. The authors analyze data in detail to illustrate the use of basic formulae for simple examples while using the GenStat® statistical package for more complex examples. Each chapter offers instructions on how to obtain the example analyses in GenStat and R.
Author Bio(s)
Salvador Alejandro Gezan, Suzanne Jane Clark, and Suzanne Jane Welham work in the biomathematics and bioinformatics department at Rothamsted Research.
Andrew Mead is a senior research scientist in the Horticultural Research Institute at the University of Warwick.
