| 000 | 02539nam a22003498i 4500 | ||
|---|---|---|---|
| 001 | CR9780511811388 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160246.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 101021s2007||||enk o ||1 0|eng|d | ||
| 020 | _a9780511811388 (ebook) | ||
| 020 | _z9780521831321 (hardback) | ||
| 020 | _z9780521538565 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 0 |
_aQH541.15.M3 _bK65 2007 |
| 082 | 0 | 4 |
_a577.015118 _222 |
| 100 | 1 |
_aKokko, Hanna, _eauthor. |
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| 245 | 1 | 0 |
_aModelling for field biologists and other interesting people / _cHanna Kokko. |
| 246 | 3 | _aModelling for Field Biologists & Other Interesting People | |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2007. |
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| 300 |
_a1 online resource (xii, 230 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 | _aModelling philosophy -- Population genetics -- Quantitative genetics -- Optimization methods -- Dynamic optimization -- Game theory -- Self-consistent games and evolutionary invasion analysis -- Individual-based simulations -- Concluding remarks -- Appendix: a quick guide to Matlab. | |
| 520 | _aStudents of evolutionary and behavioural ecology are often unfamiliar with mathematical techniques, though much of biology relies on mathematics. Evolutionary ideas are often complex, meaning that the logic of hypotheses proposed should not only be tested empirically but also mathematically. There are numerous different modelling tools used by ecologists, ranging from population genetic 'bookkeeping', to game theory and individual-based computer simulations. Due to the many different modelling options available, it is often difficult to know where to start. Hanna Kokko has designed this 2007 book to help with these decisions. Each method described is illustrated with one or two biologically interesting examples that have been chosen to help overcome fears of many biologists when faced with mathematical work, whilst also providing the programming code (Matlab) for each problem. Aimed primarily at students of evolutionary and behavioural ecology, this book will be of interest to any biologist interested in mathematical modelling. | ||
| 650 | 0 |
_aEcology _xMathematical models. |
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| 776 | 0 | 8 |
_iPrint version: _z9780521831321 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511811388 |
| 999 |
_c518962 _d518960 |
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