Record ID | marc_openlibraries_sanfranciscopubliclibrary/sfpl_chq_2018_12_24_run03.mrc:218954366:3191 |
Source | marc_openlibraries_sanfranciscopubliclibrary |
Download Link | /show-records/marc_openlibraries_sanfranciscopubliclibrary/sfpl_chq_2018_12_24_run03.mrc:218954366:3191?format=raw |
LEADER: 03191cam a2200529 a 4500
001 122973719
003 OCoLC
005 20151005061236.0
008 070403s2007 nyua b 001 0 eng
010 $a2007013804
019 $a148836139$a157000481
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035 $a122973719
035 $a(OCoLC)122973719$z(OCoLC)148836139$z(OCoLC)157000481
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049 $aSFRA
050 00 $aHA29$b.A88 2007
082 00 $a519.5$222
092 $a519.5$bAy74s
100 1 $aAyres, Ian.
245 10 $aSuper crunchers :$bwhy thinking-by-numbers is the new way to be smart /$cIan Ayres.
260 $aNew York :$bBantam Books,$c2007.
300 $a260 p. :$bill. ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references and index.
520 $aGone are the days of solely relying on intuition to make decisions. Today, number crunching affects your life in ways you might never imagine. Economist Ian Ayres shows how today's organizations are analyzing massive databases at lightning speed to provide greater insights into human behavior. From Web sites like Google and Amazon that know your tastes, to a physician's diagnosis or your child's education, to boardrooms and government agencies, this new breed of decisionmakers are calling the shots. And they are delivering staggeringly accurate results. How can a football coach evaluate a player without ever seeing him play? How can a formula outpredict wine experts in determining the best vintages? Super crunchers have the answers. In this brave new world of equation versus expertise, Ayres shows us the benefits and risks, who loses and who wins, and how super crunching can be used to help, not manipulate us.--From publisher description.
505 0 $aIntroduction : the rise of the super crunchers -- Who's doing your thinking for you? -- Creating your own data with the flip of a coin -- Government by chance -- How should physicians treat evidence-based medicine? -- Experts vs. equations -- Why now? -- Are we having fun yet? -- The future of intuition (and expertise).
650 0 $aStatistics.
650 0 $aRegression analysis.
650 0 $aSampling (Statistics)
650 0 $aStandard deviations.
907 $a.b21106253$b12-20-18$c10-10-07
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957 00 $aOCLC reclamation of 2017-18
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956 $aPre-reclamation 001 value: ocn122973719
980 $a1207 KL
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