000			01913cam a2200385 i 4500
001			ocn842880503
003			OCoLC
005			20251028093312.0
008			130701s2014 paua b 001 0 eng c
010			_a 2013026520
035			_a(Sirsi) i9780812245721
040			_aPU/DLC _beng _erda _cPAU _dDLC _dBTCTA _dYDXCP _dBDX _dOCLCO _dMUU _dCDX _dTLE _dLIV _dUAB _dVF$
019			_a842884242 _a869808943
020			_a9780812245721 (hardcover : alk. paper)
020			_a0812245725 (hardcover : alk. paper)
035			_a(OCoLC)842880503 _z(OCoLC)842884242 _z(OCoLC)869808943
042			_apcc
050	0	0	_aGV 877 _b.B38 2014
049			_aVF$A
100	1		_aBaumer, Benjamin.
245	1	4	_aThe sabermetric revolution : _bassessing the growth of analytics in baseball / _cBenjamin Baumer and Andrew Zimbalist.
264		1	_aPhiladelphia : _bUniversity of Pennsylvania Press, _c[2014]
300			_axii, 187 pages : _billustrations ; _c24 cm
336			_atext _2rdacontent
337			_aunmediated _2rdamedia
338			_avolume _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aRevisiting Moneyball -- The growth and application of baseball analytics today -- An overview of current sabermetric thought I: Offense -- An overview of current sabermetric thought II: Defense, WAR, and strategy -- The Moneyball diaspora -- Analytics and the business of baseball -- Estimating the impact of sabermetrics -- Appendix: The expected run matrix -- Modeling the effectiveness of sabermetric statistics -- Modeling the shifting inefficiencies in MLB labor markets.
520			_aExplores the history of statistical analysis in baseball, how it can best be used today, and how it must evolve for the future.
650		0	_aBaseball _xStatistical methods.
650		0	_aBaseball _xMathematical models.
700	1		_aZimbalist, Andrew S.
994			_aC0 _bVF$
999			_c133658 _d133658