Acceso abierto

Evaluating Hockey Players Using Andersen and Petersen's Super-Efficiency Model: Who is the Best Czech Hockey Player in the NHL?


Cite

Agrawal J., Kamakura W.A. (1995). The economic worth of celebrity endorsers: an event study analysis. Journal of Marketing 59(3), 56-62. DOI: 10.1177/002224299505900305 Search in Google Scholar

Weeks J. (2021). Best of the Bruins: Boston's All-Time Great Hockey Players and Coaches. Jefferson: McFarland & Company, Inc. Search in Google Scholar

Farrell M.J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society 120(3), 253-290. DOI: 10.2307/2343100 Search in Google Scholar

Espitia-Escue M., García-Cebrián L.I. (2004). Measuring the Efficiency of Spanish First-Division Soccer Teams. Journal of Sports Economics 5(4), 329-346. DOI: 10.1177/1527002503258047 Search in Google Scholar

Palafox-Alcantar P.G., Vargas-Hernández J.G. (2015). Measuring the efficiency of the 32 franchises in the NFL during the 2014 season. Journal of Sports Economics & Management 5(1), 37-53. Search in Google Scholar

Zambom-Ferraresi F. Iráizoz L. I., Lera-López F. (2019). Performance Evaluation in the UEFA Champions League. Journal of Sports Economics 18(5), 448-470. DOI: 10.1177/1527002515588135 Search in Google Scholar

Sueyoshi T., Ohnishi K., Kinase Y. (1999). A benchmark approach for baseball evaluation. European Journal of Operational Research 115(3), 429-448. DOI: 10.1016/S0377--2217(98)00126-X Search in Google Scholar

Cooper W.W., Ruiz J.L., Sirvent I. (2009). Selecting non--zero weights to evaluate effectiveness of basketball players with DEA. European Journal of Operational Research 195(2), 563-574. DOI: 10.1016/j.ejor.2008.02.012 Search in Google Scholar

Fried H.O., Lambrinos J., Tyner J. (2004). Evaluating the performance of professional golfers on the PGA, LPGA and SPGA Tours. European Journal of Operational Research 154(2), 548-561. DOI: 10.1016/S0377-2217(03)00188-7 Search in Google Scholar

Sexton T.R., Lewis H.F. (2003). Two-Stage DEA: An Application to Major League Baseball. Journal of Productivity Analysis 19, 227-249. DOI: 10.1023/A:1022861618317 Search in Google Scholar

Chitnis A., Vaidya O. (2014). Performance assessment of tennis players: Application of DEA. Procedia - Social and Behavioral Sciences 133, 74-83. Search in Google Scholar

Ramón N., Ruiz J.L., Sirvent I. (2012). Common sets of weights as summaries of DEA profiles of weights: With an application to the ranking of professional tennis players. Expert Systems with Applications 39(5), 4882-4889. DOI: 10.1016/j.eswa.2011.10.004 Search in Google Scholar

Halkos G., Tzeremes N. (2012). Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach. MPRA Paper 41516. Munich: University Library of Munich Search in Google Scholar

Santín D. (2014). Measuring the technical efficiency of football legends: who were Real Madrid's all-time most efficient players? International Transactions in Operational Research 21, 439-452. DOI: 10.1111/itor.12082 Search in Google Scholar

Pelloneová N., Tomíček M. (2022). Ranking players by DEA: An analysis of Czech and Danish football. Studia Sportiva 16(1), 76-90. DOI: 10.5817/StS2022-1-8 Search in Google Scholar

Pelloneová N., Tomíček M. (2022). Performance evaluation of goalkeepers of Slovak Football League. ACC Journal 28(2), 96-105. DOI: 10.15240/tul/004/2022-2-008 Search in Google Scholar

Pelloneová N. (2023). Measuring the Technical Efficiency of Hockey Players: Empirical Evidence from Czech Hockey Competition. Studia Sportiva 16(2), 229-248. DOI: 10.5817/StS2022-2-23 Search in Google Scholar

MediaRey S.E. (2023). Top 100 Czech hockey players in the NHL in one chart. Retrieved February 19, 2023, from https://forbes.cz/100-nejlepsich-ceskych-hokejistu-v-nhlv-jednom-grafu-jagr-jim-vsem-vladne/. [in Czech] Search in Google Scholar

NHL Enterprises L.P. (2023). Who is the most important Czech in the NHL? Retrieved February 19, 2023, from https://www.nhl.com/cs/news/nejvyznamnejsi-cesi-v-historii-nhl/c-290492808. [in Czech] Search in Google Scholar

IIHF. (2020). All-Time Czech Team. IIHF. Retrieved February 26, 2023, from https://www.iihf.com/en/events/2020/wm/news/18704/all-time-czech-team. Search in Google Scholar

Charnes A., Cooper W.W., Rhodes E. (1978). Measuring the efficiency of decision- making units. European Journal of Operational Research 2(6), 429-444. DOI: 10.1016/0377-2217(78)90138-8 Search in Google Scholar

Dlouhý M., Jablonský J., Novosádová I. (2007). Use of data envelopment analysis for Efficiency Evaluation of Czech Hospitals. Politická Ekonomie 55, 60-71. Search in Google Scholar

Banker R.D., Charnes A., Cooper W.W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science 30(9), 1078-1092. Search in Google Scholar

Jablonský J., Dlouhý M. (2015). Efficiency assessment and resource allocation models. Praha: Professional Publishing. [in Czech] Search in Google Scholar

Cooper W.W., Seiford L.M., Tone K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. New York: Springer. Search in Google Scholar

Andersen P., Petersen N.C. (1993). A Procedure for Ranking Efficient Units in Data Envelopment Analysis. Management Science 39(10), 1261-1264. DOI: 10.1287/mnsc.39.10.1261 Search in Google Scholar

Ziari S., Raissi S. (2016). Ranking efficient DMUs using minimizing distance in DEA. Journal of Industrial Engineering International 12, 237-242. DOI: 10.1007/s40092-016-0141-2 Search in Google Scholar

Tone K. (2002). A slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research 143(1), 32-41. DOI: 10.1016/S0377-2217(01)00324-1 Search in Google Scholar

Cooper W.W. (2011). Handbook on data envelopment analysis. Springer. Search in Google Scholar

eISSN:
2082-8799
Idioma:
Inglés
Calendario de la edición:
4 veces al año
Temas de la revista:
Medicine, Clinical Medicine, Public Health, Sports and Recreation, other