Buch, Englisch, 376 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 651 g
ISBN: 978-0-521-60865-7
Verlag: Cambridge University Press
This guide to the contemporary toolbox of methods for data analysis will serve graduate students and researchers across the biological sciences. Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on elaborate assumptions designed to make analytical approaches tractable. These new 'computer-intensive' methods are currently not consistently available in statistical software packages and often require more detailed instructions. The purpose of this book therefore is to introduce some of the most common of these methods by providing a relatively simple description of the techniques. Examples of their application are provided throughout, using real data taken from a wide range of biological research. A series of software instructions for the statistical software package S-PLUS are provided along with problems and solutions for each chapter.
Autoren/Hrsg.
Fachgebiete
- Naturwissenschaften Biowissenschaften Biowissenschaften Naturschutzbiologie, Biodiversität
- Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Meeres- und Süßwasserökologie
- Geowissenschaften Geologie Paläoökologie
- Naturwissenschaften Biowissenschaften Biowissenschaften Terrestrische Ökologie
- Naturwissenschaften Physik Angewandte Physik Soziophysik, Wirtschaftsphysik
- Geowissenschaften Geologie Umweltgeologie, Geoökologie
Weitere Infos & Material
1. An introduction to computer intensive methods; 2. Maximum likelihood; 3. The Jack-knife; 4. The Bootstrap; 5. Randomisation; 6. Regression methods; 7. Bayesian methods; References; Exercises; Appendix A: an overview of S-Plus methods used in this book; Appendix B: brief description of S-Plus subroutines used in this book; Appendix C: S-Plus codes cited in text.
