000			02214nam a22003618i 4500
001			CR9780511616907
003			UkCbUP
005			20200124160316.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090915s2004||||enk o ||1 0|eng|d
020			_a9780511616907 (ebook)
020			_z9780521810791 (hardback)
020			_z9780521009119 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQC39 _b.F75 2004
082	0	0	_a530.8 _222
100	1		_aFrieden, B. Roy, _d1936- _eauthor.
245	1	0	_aScience from Fisher information : _ba unification / _cB. Roy Frieden.
264		1	_aCambridge : _bCambridge University Press, _c2004.
300			_a1 online resource (xi, 490 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).
520			_aThis book develops and applies an analytical approach to deriving the probability laws of science in general. It is called 'extreme physical information' or EPI. EPI is an expression of the imperfection of observation: Owing to random interaction of a subject with its observer and other possible disturbances, its measurement contains less Fisher information than does the subject per se. Moreover, the information loss is an extreme value. An EPI output may alternatively be viewed as the payoff of a zero-sum game of information acquisition between the observer and a 'demon' in subject space. EPI derives, Escher-like, the very probability law that gave rise to the measurement. In applications, EPI is used to derive both existing and new analytical relations governing probability laws of physics, genetics, cancer growth, ecology and economics. This unified approach will be fascinating to students and those who seek a new mathematical tool of research.
650		0	_aPhysical measurements.
650		0	_aInformation theory.
650		0	_aPhysics _xMethodology.
700	1		_aFrieden, B. Roy, _d1936- _tPhysics from Fisher information.
776	0	8	_iPrint version: _z9780521810791
856	4	0	_uhttps://doi.org/10.1017/CBO9780511616907
999			_c521468 _d521466