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008 241120t20131999nju fo d z eng d
020 _a9781400850631
_qPDF
024 7 _a10.1515/9781400850631
_2doi
035 _a(DE-B1597)9781400850631
035 _a(DE-B1597)450899
035 _a(OCoLC)979881892
040 _aDE-B1597
_beng
_cDE-B1597
_erda
072 7 _aSPO003040
_2bisacsh
082 0 4 _a796.3570973
084 _aonline - DeGruyter
100 1 _aSchell, Michael J.
_eautore
245 1 0 _aBaseball's All-Time Best Hitters :
_bHow Statistics Can Level the Playing Field /
_cMichael J. Schell.
264 1 _aPrinceton, NJ :
_bPrinceton University Press,
_c[2013]
264 4 _c1999
300 _a1 online resource (320 p.) :
_b12 halftones. 39 line illus. 69 tables.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 0 _tFrontmatter --
_tContents --
_tList of figures --
_tList of tables --
_tTechnical notes --
_tPreface --
_tIntroduction: In the Dugout --
_tPART I. The Method --
_t1. On Deck with the Qualifying Players --
_t2. First Base — Adjusting for Late Career Declines --
_t3. Second Base — Adjusting for Hitting Feasts and Famines --
_t4. Third Base — Adjusting for League Batting Talent --
_t5. Home Adjusting for Ballpark --
_tPART II. The Findings --
_t6. The Adjusted Top 100 Hitters --
_t7. Top Hitters by Position --
_t8. Best Single-Season Batting Averages --
_t9. The Ballparks --
_t10. On Base Percentage --
_t11. On Base Percentage --
_t12. Where Would the Current Stars Rank? --
_tAFTERWORD: Post-Game Wrap-Up --
_tAPPENDIX I. Abbreviations and Glossary --
_tAPPENDIX II. Right- vs. Left-Handed Hitting --
_tAPPENDIX III. League Batting Averages --
_tAPPENDIX IV. Ballpark Effect Batting Averages --
_tAPPENDIX V. League Base on Balls Averages --
_tReferences --
_tIndex --
_tBackmatter
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aTony Gwynn is the greatest hitter in the history of baseball. That's the conclusion of this engaging and provocative analysis of baseball's all-time best hitters. Michael Schell challenges the traditional list of all-time hitters, which places Ty Cobb first, Gwynn 16th, and includes just 8 players whose prime came after 1960. Schell argues that the raw batting averages used as the list's basis should be adjusted to take into account that hitters played in different eras, with different rules, and in different ballparks. He makes those adjustments and produces a new list of the best 100 hitters that will spark debate among baseball fans and statisticians everywhere. Schell combines the two qualifications essential for a book like this. He is a professional statistician--applying his skills to cancer research--and he has an encyclopedic knowledge of baseball. He has wondered how to rank hitters since he was a boy growing up as a passionate Cincinnati Reds fan. Over the years, he has analyzed the most important factors, including the relative difficulty of hitting in different ballparks, the length of hitters' careers, the talent pool that players are drawn from, and changes in the game that raised or lowered major-league batting averages (the introduction of the designated hitter and changes in the height and location of the pitcher's mound, for example). Schell's study finally levels the playing field, giving new credit to hitters who played in adverse conditions and downgrading others who faced fewer obstacles. His final ranking of players differs dramatically from the traditional list. Gwynn, for example, bumps Cobb to 2nd place, Rod Carew rises from 28th to 3rd, Babe Ruth drops from 9th to 16th, and Willie Mays comes from off the list to rank 13th. Schell's list also gives relatively more credit to modern players, containing 39 whose best days were after 1960. Using a fun, conversational style, the book presents a feast of stories and statistics about players, ballparks, and teams--all arranged so that calculations can be skipped by general readers but consulted by statisticians eager to follow Schell's methods or introduce their students to such basic concepts as mean, histogram, standard deviation, p-value, and regression. Baseball's All-Time Best Hitters will shake up how baseball fans view the greatest heroes of America's national pastime.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 20. Nov 2024)
650 0 _aBaseball players
_vRating of
_vUnited States.
650 0 _aBaseball players
_vRating of.
650 0 _aBaseball players
_vUnited States
_vStatistics.
650 0 _aBaseball players
_xRating of
_zUnited States.
650 0 _aBaseball players
_zUnited States
_xStatistics.
650 0 _aBatting (Baseball)
_vStatistics.
650 7 _aSPORTS & RECREATION / Baseball / Statistics.
_2bisacsh
653 _aAmyotrophic lateral sclerosis.
653 _aApproximation.
653 _aAstroTurf.
653 _aBase runs.
653 _aBrooklyn Dodgers (NFL).
653 _aCalculation.
653 _aCandlestick Park.
653 _aComputer simulation.
653 _aDominican Republic.
653 _aEstimation.
653 _aExact method.
653 _aF-test.
653 _aHistogram.
653 _aHumidity.
653 _aKurtosis.
653 _aLongevity.
653 _aMeasurement.
653 _aMid-Atlantic states.
653 _aMoment (mathematics).
653 _aNew York Giants.
653 _aNormal distribution.
653 _aPercentage.
653 _aPercentile.
653 _aProbability.
653 _aRegression analysis.
653 _aRegression model.
653 _aResult.
653 _aSkewness.
653 _aSmall number.
653 _aSquare root.
653 _aStandard deviation.
653 _aStandard score.
653 _aStatistic.
653 _aStatistician.
653 _aTest score.
653 _aWealth.
653 _aYear.
850 _aIT-RoAPU
856 4 0 _uhttps://doi.org/10.1515/9781400850631
856 4 0 _uhttps://www.degruyter.com/isbn/9781400850631
856 4 2 _3Cover
_uhttps://www.degruyter.com/document/cover/isbn/9781400850631/original
942 _cEB
999 _c207112
_d207112