AquaDoc
Active member
- Joined
- May 25, 2011
- Messages
- 328
- Reaction score
- 132
- Points
- 43
Statistical Methods in Biology: Design and Analysis of Experiments and Regression
by S.J. Welham, S.A. Gezan, S.J. Clark and A. Mead
Publisher: ---
Pages: 616
Language: English
ISBN: 9781439808788, 1439808783
Edition: 1st, 2014
Description:
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience.
Taking a practical and intuitive approach, the book 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.
by S.J. Welham, S.A. Gezan, S.J. Clark and A. Mead
Publisher: ---
Pages: 616
Language: English
ISBN: 9781439808788, 1439808783
Edition: 1st, 2014
Description:
Written in simple language with relevant examples, Statistical Methods in Biology: Design and Analysis of Experiments and Regression is a practical and illustrative guide to the design of experiments and data analysis in the biological and agricultural sciences. The book presents statistical ideas in the context of biological and agricultural sciences to which they are being applied, drawing on relevant examples from the authors’ experience.
Taking a practical and intuitive approach, the book 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.