000			02109nam a22003258i 4500
001			CR9780511790423
003			UkCbUP
005			20200124160309.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			100611s2003||||enk o ||1 0|eng|d
020			_a9780511790423 (ebook)
020			_z9780521592710 (hardback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQA273 _b.J36 2003
082	0	0	_a519.2 _221
100	1		_aJaynes, E. T. _q(Edwin T.), _eauthor.
245	1	0	_aProbability theory : _bthe logic of science / _cE.T. Jaynes ; edited by G. Larry Bretthorst.
264		1	_aCambridge : _bCambridge University Press, _c2003.
300			_a1 online resource (xxix, 727 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			_aThe standard rules of probability can be interpreted as uniquely valid principles in logic. In this book, E. T. Jaynes dispels the imaginary distinction between 'probability theory' and 'statistical inference', leaving a logical unity and simplicity, which provides greater technical power and flexibility in applications. This book goes beyond the conventional mathematics of probability theory, viewing the subject in a wider context. New results are discussed, along with applications of probability theory to a wide variety of problems in physics, mathematics, economics, chemistry and biology. It contains many exercises and problems, and is suitable for use as a textbook on graduate level courses involving data analysis. The material is aimed at readers who are already familiar with applied mathematics at an advanced undergraduate level or higher. The book will be of interest to scientists working in any area where inference from incomplete information is necessary.
650		0	_aProbabilities.
700	1		_aBretthorst, G. Larry, _eeditor.
776	0	8	_iPrint version: _z9780521592710
856	4	0	_uhttps://doi.org/10.1017/CBO9780511790423
999			_c520895 _d520893