000 | 01631nam a22002297a 4500 | ||
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999 |
_c115 _d115 |
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005 | 20190902170424.0 | ||
008 | 190902b ||||| |||| 00| 0 eng d | ||
020 | _a9780719564659 | ||
082 |
_a519.5 _bAYR |
||
100 |
_aAyres, Ian _9950 |
||
245 | _aSuper crunchers: how anything can be predicted | ||
260 |
_bJohn Murray _aLondon _c2008 |
||
300 | _a260 P. | ||
365 |
_aINR _b1150.00 |
||
504 | _antroduction: 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 versus equations -- Why now? -- Are we having fun yet? -- The future of intuition (and expertise) | ||
520 | _aWhen would a casino stop a gambler from playing his next hand? How could a company use statistical analysis to blackball you from the job you want? Why should you worry when customer services pay attention to your needs? Beginning with examples of the mathematician who out-predicted wine buffs in determining the best vintages, and the sports scouts who now use statistics rather than intuition to pick winners, Super Crunchers exposes the hidden patterns all around us. No businessperson, academic, student, or consumer (statistically, that's everyone) should make another move without getting to grips with thinking-by-numbers -- the new way to be smart, savvy and statistically superior. | ||
650 |
_aStatistics _9951 |
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650 |
_aForecasting--Methodology _9952 |
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650 |
_aHuman behavior--Mathematical models _9935 |
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650 |
_aStandard deviations _9953 |
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942 |
_2ddc _cBK |