000			02976nam a2200385 a 4500
001			EBC3420687
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005			20240123145450.0
006			m o d |
007			cr cn|||||||||
008			101123s2011 ctu sb 001 0 eng d
010			_z 2010045037
020			_z9780300169690 (hbk.)
020			_a9780300175097 (electronic bk.)
035			_a(MiAaPQ)EBC3420687
035			_a(Au-PeEL)EBL3420687
035			_a(CaPaEBR)ebr10468995
035			_a(CaONFJC)MIL310192
035			_a(OCoLC)923596016
040			_aMiAaPQ _cMiAaPQ _dMiAaPQ
050		4	_aQA279.5 _b.M415 2011
082	0	4	_a519.5/42 _222
100	1		_aMcGrayne, Sharon Bertsch.
245	1	4	_aThe theory that would not die _h[electronic resource] : _bhow Bayes' rule cracked the enigma code, hunted down Russian submarines, and emerged triumphant from two centuries of controversy / _cSharon Bertsch McGrayne.
260			_aNew Haven [Conn.] : _bYale University Press, _c2011.
300			_axiii, 320 p.
504			_aIncludes bibliographical references and index.
505	0		_apt. 1. Enlightenment and the Anti-Bayesian reaction -- pt. 2. Second World War era -- pt. 3. The glorious revival -- pt. 4. To prove its worth -- pt. 5. Victory 211.
520			_a"Bayes' rule appears to be a straightforward, one-line theorem: by updating our initial beliefs with objective new information, we get a new and improved belief. To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok. In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years--at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information, even breaking Germany's Enigma code during World War II, and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security. Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time"-- _cProvided by publisher.
533			_aElectronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
650		0	_aBayesian statistical decision theory _xHistory.
655		4	_aElectronic books.
710	2		_aProQuest (Firm)
856	4	0	_uhttps://ebookcentral.proquest.com/lib/bacm-ebooks/detail.action?docID=3420687 _zClick to View
999			_c223288 _d223287