Quantifying the Contribution of NHL Player Types to Team Performance

References

• Anderberg M. R. (1973) Cluster Analysis for Applications. (Academic Press, New York) .Google Scholar
• Beaudoin D., Swartz T. B. (2010) Strategies for pulling the goalie in hockey. Amer. Statistician 64(3) 197–204.Crossref, Google Scholar
• Burger J. D., Walters S. J. K. (2003) Market size, pay, and performance: A general model and application to Major League Baseball. J. Sports Econom. 4(2) 108–125.Crossref, Google Scholar
• Calinski T., Harabasz J. (1974) A dendrite method for cluster analysis. Comm. Statist. 3(1) 1–27.Google Scholar
• Cochran J. J., Blackstock R. (2009) Pythagoras and the National Hockey League. J. Quant. Anal. Sports 5(2). . Article 11.Google Scholar
• Costa D. (1995) An evolutionary tabu search algorithm and the NHL scheduling problem. INFOR 33(3) 161–178.Google Scholar
• Erkut E. (1987) More on Morrison and Wheat's “Pulling the goalie revisited”. Interfaces 17(5) 121–123.Link, Google Scholar
• Ferland J. A., Fleurent C. (1991) Computer aided scheduling for a sport league. INFOR 29(1) 14–25.Google Scholar
• Fleisher A. A., Goff B. L., Tollison R. D. (1992) The National Collegiate Athletic Association: A Study in Cartel Behavior. (University of Chicago Press, Chicago) .Google Scholar
• Fleurent C., Ferland J. A. (1993) Allocating games for the NHL using integer programming. Oper. Res. 41(4) 649–654.Link, Google Scholar
• Gennaro V. (2007) Diamond Dollars: The Economics of Winning in Baseball. (Maple Street Press, Hanover, MA) .Google Scholar
• Ingolfsson A. (2004) Simulating NHL games to motivate student interest in OR/MS. INFORMS Trans. Ed. 5(1) 37–46.Link, Google Scholar
• Ingolfsson A. (2010) Ice hockey. Wiley Encyclopedia of Operations Research and Management Science. (John Wiley & Sons, Hoboken, NJ) .Google Scholar
• Jones J. C. H., Nadeau S., Walsh W. D. (1997) The wages of sin: Employment and salary effects of violence in the National Hockey League. Atlantic Econom. J. 25(2) 191–206.Crossref, Google Scholar
• Jones J. C. H., Nadeau S., Walsh W. D. (1999) Ethnicity, productivity and salary: Player compensation and discrimination in the National Hockey League. Appl. Econom. 31(5) 593–608.Crossref, Google Scholar
• Lucifora C., Simmons R. (2003) Superstar effects in sport: Evidence from Italian soccer. J. Sports Econom. 4(1) 35–55.Crossref, Google Scholar
• Morrison D. G. (1976) On the optimal time to pull the goalie: A Poisson model applied to a common strategy used in ice hockey. Management Science in Sports, Vol. 4. TIMS Studies in Management Science. (North Holland, Amsterdam) .Google Scholar
• Morrison D. G., Wheat R. D. (1986) Misapplications reviews: Pulling the goalie revisited. Interfaces 16(6) 28–34.Link, Google Scholar
• Mullet G. M. (1977) Simeon Poisson and the National Hockey League. Amer. Statistician 31(1) 8–12.Google Scholar
• Nydick R. L., Weiss H. J. (1989) More on Erkut's “More on Morrison and Wheat's ‘Pulling the goalie revisited’ ”. Interfaces 19(5) 45–48.Link, Google Scholar
• Rousseeuw P. J. (1987) Silhouettes: A graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20(1) 73–85.Google Scholar
• Russell T., vanBeek P. (2009) Determining the number of games needed to guarantee an NHL playoff spot. 6th Internat. Conf. Integration AI OR Techniques Constraint Programming Combin. Optim. Problems , Pittsburgh.Crossref, Google Scholar
• Schmidt M. B., Berri D. J. (2001) Competitive balance and attendance: The case of Major League Baseball. J. Sports Econom. 2(2) 145–167.Crossref, Google Scholar
• Thomas A. C. (2006) The impact of puck possession and location on ice hockey strategy. J. Quant. Anal. Sports 2(1). . Article 6.Google Scholar
• Vincent C. B., Eastman B. (2009) Defining the style of play in the NHL: An application of cluster analysis. J. Quant. Anal. Sports 5(1). . Article 10.Google Scholar
• Washburn A. (1991) Still more on pulling the goalie. Interfaces 21(2) 59–64.Link, Google Scholar