Introduction to computer-intensive methods of data analysis in biology:
This 2006 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 assum...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2006
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | This 2006 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 |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (vii, 368 pages) |
| ISBN: | 9780511616785 |
| DOI: | 10.1017/CBO9780511616785 |
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| contents | 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 |
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| dewey-tens | 570 - Biology |
| discipline | Biologie Wirtschaftswissenschaften |
| doi_str_mv | 10.1017/CBO9780511616785 |
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| spelling | Roff, Derek A. 1949- Verfasser aut Introduction to computer-intensive methods of data analysis in biology Derek A. Roff Cambridge Cambridge University Press 2006 1 online resource (vii, 368 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 This 2006 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 Datenverarbeitung Biology / Data processing Datenanalyse (DE-588)4123037-1 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Biologie (DE-588)4006851-1 s Datenanalyse (DE-588)4123037-1 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-60865-7 Erscheint auch als Druckausgabe 978-0-521-84628-8 https://doi.org/10.1017/CBO9780511616785 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Roff, Derek A. 1949- Introduction to computer-intensive methods of data analysis in biology 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 Datenverarbeitung Biology / Data processing Datenanalyse (DE-588)4123037-1 gnd Biologie (DE-588)4006851-1 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4006851-1 |
| title | Introduction to computer-intensive methods of data analysis in biology |
| title_auth | Introduction to computer-intensive methods of data analysis in biology |
| title_exact_search | Introduction to computer-intensive methods of data analysis in biology |
| title_full | Introduction to computer-intensive methods of data analysis in biology Derek A. Roff |
| title_fullStr | Introduction to computer-intensive methods of data analysis in biology Derek A. Roff |
| title_full_unstemmed | Introduction to computer-intensive methods of data analysis in biology Derek A. Roff |
| title_short | Introduction to computer-intensive methods of data analysis in biology |
| title_sort | introduction to computer intensive methods of data analysis in biology |
| topic | Datenverarbeitung Biology / Data processing Datenanalyse (DE-588)4123037-1 gnd Biologie (DE-588)4006851-1 gnd |
| topic_facet | Datenverarbeitung Biology / Data processing Datenanalyse Biologie |
| url | https://doi.org/10.1017/CBO9780511616785 |
| work_keys_str_mv | AT roffdereka introductiontocomputerintensivemethodsofdataanalysisinbiology |