LEADER 03384cam a22003494a 4500003    hubpceuo
005    20201130105951.0
007    ta
008    101123s2011    ctu      b    001 0 eng  
010      2010045037
020    9780300169690 (hardback)
020    9780300188226 (paperback)
035    (OCoLC)ocn670481486
040    DLC |cDLC |dDLC |dhubpceuo |bEnglish
041    eng
042    pcc
050 00 QA279.5 |b.M415 2011
082 00 519.5/42 |222
100 1  McGrayne, Sharon Bertsch.
245 14 The theory that would not die : |bhow Bayes' rule cracked the enigma code, hunted down Russian submarines, & emerged triumphant from two centuries of controversy / |cSharon Bertsch McGrayne.
260    New Haven [Conn.] : |bYale University Press, |cc2011.
300    xiii, 320 p. ; |c25 cm.
504    Includes bibliographical references (p. 275-306) and index.
505 0  Pt. I. Enlightenment and the anti-Bayesian reaction -- Causes in the air --  The man who did everything -- Many doubts, few defenders -- Pt. II. Second World War era. Bayes goes to war -- Dead and buried again -- Pt. III. The glorious revival -- Arthur Bailey -- From tool to theology -- Jerome Cornfield, lung cancer, and heart attacks -- There's always a first time -- 46,656 varieties -- Pt. IV. To prove its worth -- Business decisions -- Who wrote The Federalist? -- The cold warrior -- Three Mile Island -- The Navy searches -- Pt. V. Victory --. Eureka! -- Rosetta stones -- Epilogue -- Appendixes. Dr. Fisher's casebook. The doctor sees the light / Michael J. Campbell -- Applying Baye's Rule to mammograms and breast cancer.
520    "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"--
650  0 Bayesian statistical decision theory |xHistory.
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966     |cIn the Research Room