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Volumn 98, Issue 461, 2003, Pages 17-27

The selection or seeding of college basketball or football teams for postseason competition

Author keywords

Least squares; Paired comparisons; Prediction; Ranking; Rating

Indexed keywords


EID: 0037365007     PISSN: 01621459     EISSN: None     Source Type: Journal    
DOI: 10.1198/016214503388619058     Document Type: Article
Times cited : (54)

References (15)
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    • Bassett, G.W.1
  • 2
    • 0000205502 scopus 로고
    • The use of linear-model methodology to rate high school or college football teams
    • Harville, D. A. (1977), "The Use of Linear-Model Methodology to Rate High School or College Football Teams," Journal of the American Statistical Association, 72, 278-289.
    • (1977) Journal of the American Statistical Association , vol.72 , pp. 278-289
    • Harville, D.A.1
  • 4
    • 0013048043 scopus 로고    scopus 로고
    • The selection and/or seeding of college basketball or football teams for postseason competition: A statistician's perspective
    • _ (2000), "The Selection and/or Seeding of College Basketball or Football Teams for Postseason Competition: A Statistician's Perspective," in Proceedings of the Section on Statstics in Sports, American Statistical Association, pp. 1-18.
    • (2000) Proceedings of the Section on Statstics in Sports, American Statistical Association , pp. 1-18
  • 6
    • 21344485320 scopus 로고
    • The home-court advantage: How large is it and does it vary from team to team
    • Harville, D. A., and Smith, M. H. (1994), "The Home-Court Advantage: How Large Is It and Does It Vary From Team to Team," The American Statistician, 48, 22-28.
    • (1994) The American Statistician , vol.48 , pp. 22-28
    • Harville, D.A.1    Smith, M.H.2
  • 8
    • 0002435158 scopus 로고
    • A method for ranking teams with an application to college football
    • eds. R. E. Machol, S. P. Ladany, and D. G. Morrison, Amsterdam: North-Holland
    • Leake, R. J. (1976), "A Method for Ranking Teams With an Application to College Football." in Management Science in Sports, eds. R. E. Machol, S. P. Ladany, and D. G. Morrison, Amsterdam: North-Holland, pp. 27-46.
    • (1976) Management Science in Sports , pp. 27-46
    • Leake, R.J.1
  • 10
    • 0000504103 scopus 로고
    • Improved least squares football, basketball, and soccer predictions
    • _ (1980), "Improved Least Squares Football, Basketball, and Soccer Predictions," IEEE Transactions on Systems, Man, and Cybernetics, SMC-10, 116-123.
    • (1980) IEEE Transactions on Systems, Man, and Cybernetics , vol.SMC-10 , pp. 116-123
  • 12
    • 0003176431 scopus 로고
    • Who's number one in college football?... And how might we decide?
    • _ (1995), "Who's Number One in College Football?... And How Might We Decide?," Chance, 8, 7-14.
    • (1995) Chance , vol.8 , pp. 7-14
  • 13
    • 33846705361 scopus 로고    scopus 로고
    • How accurately can sports outcomes be predicted?
    • _ (1997), "How Accurately Can Sports Outcomes Be Predicted?," Chance, 10, 19-23.
    • (1997) Chance , vol.10 , pp. 19-23
  • 14
    • 38249039953 scopus 로고
    • Bradley-terry-luce models with an ordered response
    • Tutz, G. (1986), "Bradley-Terry-Luce Models With an Ordered Response," Journal of Mathematical Psychology, 30, 306-316.
    • (1986) Journal of Mathematical Psychology , vol.30 , pp. 306-316
    • Tutz, G.1
  • 15
    • 0013092945 scopus 로고    scopus 로고
    • Sports Illustrated, March 26, 40-48
    • Wolff, A. (2001), "Dirty Pool," Sports Illustrated, March 26, 40-48.
    • (2001) Dirty Pool
    • Wolff, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.