000			02690nam a22003738i 4500
001			CR9780511783708
003			UkCbUP
005			20200124160305.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			141103s2011||||enk o ||1 0|eng|d
020			_a9780511783708 (ebook)
020			_z9781107004306 (hardback)
020			_z9780521179232 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQH323.5 _b.E88 2011
082	0	0	_a577.0727 _222
100	1		_aEstabrook, George F., _eauthor.
245	1	2	_aA computational approach to statistical arguments in ecology and evolution / _cGeorge F. Estabrook.
246	3		_aA Computational Approach to Statistical Arguments in Ecology & Evolution
264		1	_aCambridge : _bCambridge University Press, _c2011.
300			_a1 online resource (viii, 257 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aProgramming and statistical concepts -- Choosing a test statistic -- Random variables and distributions -- More programming and statistical concepts -- Parametric distributions -- Linear model -- Fitting distributions -- Dependencies -- How to get away with peeking at data -- Contingency.
520			_aScientists need statistics. Increasingly this is accomplished using computational approaches. Freeing readers from the constraints, mysterious formulas and sophisticated mathematics of classical statistics, this book is ideal for researchers who want to take control of their own statistical arguments. It demonstrates how to use spreadsheet macros to calculate the probability distribution predicted for any statistic by any hypothesis. This enables readers to use anything that can be calculated (or observed) from their data as a test statistic and hypothesize any probabilistic mechanism that can generate data sets similar in structure to the one observed. A wide range of natural examples drawn from ecology, evolution, anthropology, palaeontology and related fields give valuable insights into the application of the described techniques, while complete example macros and useful procedures demonstrate the methods in action and provide starting points for readers to use or modify in their own research.
650		0	_aBiometry _xData processing.
650		0	_aEcology _xStatistical methods _xData processing.
650		0	_aEvolution (Biology) _xStatistical methods _xData processing.
776	0	8	_iPrint version: _z9781107004306
856	4	0	_uhttps://doi.org/10.1017/CBO9780511783708
999			_c520701 _d520699