| 000 | 02450nam a22003378i 4500 | ||
|---|---|---|---|
| 001 | CR9780511616785 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160249.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 090915s2006||||enk o ||1 0|eng|d | ||
| 020 | _a9780511616785 (ebook) | ||
| 020 | _z9780521846288 (hardback) | ||
| 020 | _z9780521608657 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aQH324.2 _b.R62 2006 |
| 082 | 0 | 0 |
_a570.285 _222 |
| 100 | 1 |
_aRoff, Derek A., _d1949- _eauthor. |
|
| 245 | 1 | 0 |
_aIntroduction to computer-intensive methods of data analysis in biology / _cDerek A. Roff. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2006. |
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| 300 |
_a1 online resource (vii, 368 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 505 | 0 | _a1. 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. | |
| 520 | _aThis 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. | ||
| 650 | 0 |
_aBiology _xData processing. |
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| 776 | 0 | 8 |
_iPrint version: _z9780521846288 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511616785 |
| 999 |
_c519303 _d519301 |
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