Main Article Content
R Baumann, V A Matheson and C A Howe ‘Anomalies in Tournament Design: The Madness of
March Madness’ Journal of Quantitative Analysis in Sports (2010) 6 1-9.
B L Boulier and H O Stekler ‘Are Sports Seedings Good Predictors? An Evaluation’ International
Journal of Forecasting (1999) 15 83-91.
S B Caudill ‘Predicting Discrete Outcomes with the Maximum Score Estimator: The Case of the
NCAA Men’s Basketball Tournament’ International Journal of Forecasting (2003) 19
B J Coleman, J M DuMond and A K Lynch ‘Evidence of Bias in NCAA Tournament Selection and Seeding’ Managerial and Decision Economics (2010) 31 431-452.
A Khatibi, D M King and S H Jacobson ‘Modeling the Winning Seed Distribution of the NCAA
Division I Men’s Basketball Tournament’ Omega (2015) 50 141-148.
S H Jacobson and D M. King ‘Seeding in the NCAA Men’s Basketball Tournament: When is a Higher Seed Better?’ The Journal of Gambling Business and Economics (2009) 3 63-
S H Jacobson, A G Nikolaev, D M King and A J Lee ‘Seed Distributions for the NCAA Men’s
Basketball Tournament Omega (2011) 39 719-724.
T L Morris and F H Bokhari ‘The Dreaded Middle Seeds: Are they the Worst Seeds in the NCAA
Basketball Tournament?’ Journal of Quantitative Analysis in Sports (2012) 8 1-13.
B A Reinig, J Lackritz, and I Horowitz ‘Overvalued and Under-dogged: An Assessment of the
Seeding of Mid-Major Teams in the NCAA Men’s Basketball Tournament’ Journal of
Gambling Business and Economics (2013) 7 1-15.
N C Schwertman, T A McGready and L Howard ‘Probability Models for the NCAA Regional
Basketball Tournaments’ The American Statistician (1991) 45 35-38.
N C Schwertman, K L Schenk and B C Holbrook ‘More Probability Models for the NCAA
Regional Basketball Tournaments’ The American Statistician (1996) 50 34-38.
C E Shannon ‘A Mathematical Theory of Communication’ The Bell System Technical Journal
(1948) 27 379-423, 623-656.
H Theil Economics and Information Theory (Amsterdam, North-Holland, 1