MARC Record from harvard_bibliographic_metadata

LEADER: 02289cam a2200325 a 4500
001 011067256-9
005 20071109101802.0
008 070403s2007 nyua b 001 0 eng
010 $a 2007013804
020 $a9780553805406 (hardcover)
020 $a0553805401 (hardcover)
035 0 $aocn122973719
040 $aDLC$cDLC$dYDX$dBAKER$dBTCTA$dOCO$dKUT$dLF8$dYDXCP$dBUR$dDLC
050 00 $aHA29$b.A88 2007
082 00 $a519.5$222
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,$cc2007.
300 $a260 p. :$bill. ;$c24 cm.
504 $aIncludes bibliographical references (p. [221]-247) 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.
650 0 $aForecasting$xMethodology.
650 0 $aHuman behavior$xMathematical models.
988 $a20070911
906 $0DLC