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Volumn 32, Issue 5, 2002, Pages 85-94

College football rankings: Do the computers know best?

Author keywords

Recreation and sports; Statistics: data analysis

Indexed keywords


EID: 0036761815     PISSN: 00922102     EISSN: None     Source Type: Journal    
DOI: 10.1287/inte.32.5.85.33     Document Type: Article
Times cited : (13)

References (15)
  • 1
    • 0031483451 scopus 로고    scopus 로고
    • Robust sports ratings based on least absolute errors
    • Bassett, Gilbert W. 1997. Robust sports ratings based on least absolute errors. Amer. Statistician 51(2) 1-7.
    • (1997) Amer. Statistician , vol.51 , Issue.2 , pp. 1-7
    • Bassett, G.W.1
  • 3
    • 0000205502 scopus 로고
    • The use of linear-model technology to rate high school or college football teams
    • Harville, David. 1977. The use of linear-model technology to rate high school or college football teams. J. Amer. Statist. Association 72(358) 278-289.
    • (1977) J. Amer. Statist. Association , vol.72 , Issue.358 , pp. 278-289
    • Harville, D.1
  • 4
    • 85036820622 scopus 로고    scopus 로고
    • letter dated November 1, 1997, retrieved May 6, 2002
    • Hopkins, Mark. 1997. Letter on rating systems comparison. Web site 〈www.cae.wisc.edu/̃dwilson/rsfc/rate/hopkins2.txt〉, letter dated November 1, 1997, retrieved May 6, 2002.
    • (1997) Letter on rating systems comparison
    • Hopkins, M.1
  • 6
    • 0012006805 scopus 로고    scopus 로고
    • Dynamic rating of sports teams
    • Knorr-Held, L. 2000. Dynamic rating of sports teams. Statistician 49(2) 261-276.
    • (2000) Statistician , vol.49 , Issue.2 , pp. 261-276
    • Knorr-Held, L.1
  • 7
    • 0002435158 scopus 로고
    • A method for ranking teams: With an application to college football
    • R.E. Machol, S.P. Ladany, eds. North-Holland Publishing, Amsterdam, The Netherlands
    • Leake, R.J. 1976. A method for ranking teams: With an application to college football. R.E. Machol, S.P. Ladany, eds. Management Science in Sports. North-Holland Publishing, Amsterdam, The Netherlands, 27-46.
    • (1976) Management Science in Sports , pp. 27-46
    • Leake, R.J.1
  • 10
    • 0001064556 scopus 로고
    • Football and basketball predictions using least squares
    • Stefani, Raymond T. 1977. Football and basketball predictions using least squares. IEEE Trans. Systems, Man, Cybernetics SMC-7(2) 117-121.
    • (1977) IEEE Trans. Systems, Man, Cybernetics , vol.SMC-7 , Issue.2 , pp. 117-121
    • Stefani, R.T.1
  • 11
    • 0000504103 scopus 로고
    • Improved least squares football, basketball, and soccer predictions
    • _. 1980. Improved least squares football, basketball, and soccer predictions. IEEE Trans. Systems, Man, Cybernetics SMC-10(2) 116-123.
    • (1980) IEEE Trans. Systems, Man, Cybernetics , vol.SMC-10 , Issue.2 , pp. 116-123
  • 12
    • 0003176431 scopus 로고
    • Who's number 1 in college football?... and how might we decide?
    • Stern, Hal. 1995. Who's number 1 in college football?... and how might we decide? Chance 8(3) 7-14.
    • (1995) Chance , vol.8 , Issue.3 , pp. 7-14
    • Stern, H.1
  • 13
    • 0028447093 scopus 로고
    • A neural network approach to decision alternative prioritization
    • Wilson, R.L. 1994. A neural network approach to decision alternative prioritization. Decision Support Systems 11(5) 431-447.
    • (1994) Decision Support Systems , vol.11 , Issue.5 , pp. 431-447
    • Wilson, R.L.1
  • 14
    • 0012013837 scopus 로고
    • The 'real' mythical college football champion
    • _. 1995a. The 'real' mythical college football champion. OR/MS Today 22(5) 24-29.
    • (1995) OR/MS Today , vol.22 , Issue.5 , pp. 24-29
  • 15
    • 0011971811 scopus 로고
    • Ranking college football teams: A neural network approach
    • _. 1995b. Ranking college football teams: A neural network approach. Interfaces 25(4) 44-59.
    • (1995) Interfaces , vol.25 , Issue.4 , pp. 44-59


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.