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Record Nr. |
UNINA9910824967203321 |
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Autore |
Roff Derek A. <1949-> |
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Titolo |
Introduction to computer-intensive methods of data analysis in biology / / Derek A. Roff |
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Pubbl/distr/stampa |
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Cambridge, UK ; ; New York, : Cambridge University Press, 2006 |
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ISBN |
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1-107-15228-3 |
1-280-95612-7 |
9786610956128 |
0-511-35163-1 |
0-511-64826-X |
0-511-21912-1 |
0-511-56773-1 |
0-511-61678-3 |
0-511-21980-6 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (vii, 368 pages) : digital, PDF file(s) |
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Disciplina |
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Soggetti |
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Biology - Data processing |
Bioinformatics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
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Nota di bibliografia |
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Includes bibliographical references (p. 233-241) and index. |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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