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MARC Record from Library of Congress

Record ID marc_loc_updates/v37.i35.records.utf8:28937387:1877
Source Library of Congress
Download Link /show-records/marc_loc_updates/v37.i35.records.utf8:28937387:1877?format=raw

LEADER: 01877cam a2200325 a 4500
001 2007042474
003 DLC
005 20090828154416.0
008 071012s2008 ncua b 001 0 eng
010 $a 2007042474
020 $a9780786433889 (softcover : alk. paper)
020 $a0786433884 (softcover : alk. paper)
035 $a(OCoLC)ocn176648876
035 $a(OCoLC)176648876
040 $aDLC$cDLC$dYDX$dBAKER$dBTCTA$dYDXCP$dWLL$dDLC
042 $alcac
050 00 $aGV867$b.C67 2008
082 00 $a796.357$222
100 1 $aCosta, Gabriel B.
245 10 $aUnderstanding sabermetrics :$ban introduction to the science of baseball statistics /$cGabriel B. Costa, Michael R. Huber and John T. Saccoman.
260 $aJefferson, N.C. :$bMcFarland & Co.,$cc2008.
300 $axiv, 176 p. :$bill. ;$c23 cm.
520 $a"Numbers and baseball go together like America and apple pie. Sabermetrics, defined as the "search for objective knowledge about baseball" and "the mathematical and statistical analysis of baseball records" by noted author Bill James who coined the term, has become perhaps the most important baseball evaluation tool available to researchers. This book is a Sabermetrics primer"--Provided by publisher.
504 $aIncludes bibliographical references (p. 171-172) and index.
505 2 $aSimple additive formulas -- Peak versus career performance -- The equivalence coefficient -- The linear weights school: offense -- The linear weights school: pitching and defense -- The runs-created school -- Win shares -- Park effects -- Creating measures and doing sabermetrics: some examples.
650 0 $aBaseball$xStatistical methods.
650 0 $aBaseball$xMathematical models.
700 1 $aHuber, Michael R.,$d1960-
700 1 $aSaccoman, John T.,$d1964-
856 41 $3Table of contents only$uhttp://www.loc.gov/catdir/toc/ecip082/2007042474.html