How the West will be won: using Monte Carlo simulations to estimate the effects of NHL realignment
Author
Abstract
Suggested Citation
DOI: 10.1515/jqas-2013-0125
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.References listed on IDEAS
- Rosenfeld Jason W. & Fisher Jake I & Adler Daniel & Morris Carl, 2010. "Predicting Overtime with the Pythagorean Formula," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 6(2), pages 1-19, April.
- J. P. Royston, 1982. "Expected Normal Order Statistics (Exact and Approximate)," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 31(2), pages 161-165, June.
- Pasteur R. Drew & Janning Michael C., 2011. "Monte Carlo Simulation for High School Football Playoff Seed Projection," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-10, May.
- Rudelius Thomas W., 2012. "Did the Best Team Win? Analysis of the 2010 Major League Baseball Postseason Using Monte Carlo Simulation," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-13, March.
- Quinn Kevin G. & Bursik Paul B., 2007. "Growing and Moving the Game: Effects of MLB Expansion and Team Relocation 1950-2004," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 3(2), pages 1-30, April.
- Rump Christopher M, 2008. "Data Clustering for Fitting Parameters of a Markov Chain Model of Multi-Game Playoff Series," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(1), pages 1-19, January.
- Newton Paul K & Aslam Kamran, 2009. "Monte Carlo Tennis: A Stochastic Markov Chain Model," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-44, July.
- Beaudoin David, 2013. "Various applications to a more realistic baseball simulator," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(3), pages 271-283, September.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Michal Friesl & Jan Libich & Petr Stehlík, 2020. "Fixing ice hockey’s low scoring flip side? Just flip the sides," Annals of Operations Research, Springer, vol. 292(1), pages 27-45, September.
- Michal Friesl & Liam J. A. Lenten & Jan Libich & Petr Stehlík, 2017. "In search of goals: increasing ice hockey’s attractiveness by a sides swap," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1006-1018, September.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Pasteur R. Drew & Janning Michael C., 2011. "Monte Carlo Simulation for High School Football Playoff Seed Projection," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(2), pages 1-10, May.
- Kenneth T. Bogen, 2013. "Dermal Uptake of 18 Dilute Aqueous Chemicals: In Vivo Disappearance‐Method Measures Greatly Exceed In Vitro‐Based Predictions," Risk Analysis, John Wiley & Sons, vol. 33(7), pages 1334-1352, July.
- Young William A & Holland William S & Weckman Gary R, 2008. "Determining Hall of Fame Status for Major League Baseball Using an Artificial Neural Network," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(4), pages 1-46, October.
- G. P. Brorby & P. J. Sheehan & D. W. Berman & K. T. Bogen & S. E. Holm, 2013. "Exposures from Chrysotile‐Containing Joint Compound: Evaluation of New Model Relating Respirable Dust to Fiber Concentrations," Risk Analysis, John Wiley & Sons, vol. 33(1), pages 161-176, January.
- Galeano, Javier & Gómez, Miguel-Ángel & Rivas, Fernando & Buldú, Javier M., 2022. "Using Markov chains to identify player’s performance in badminton," Chaos, Solitons & Fractals, Elsevier, vol. 165(P2).
- Seongmin Kang & Joonyoung Roh & Eui-chan Jeon, 2020. "Seasonal Variation Analysis Method of GHG at Municipal Solid Waste Incinerator," Sustainability, MDPI, vol. 12(18), pages 1-10, September.
- Gwo Dong Lin & Yuchung J. Wang, 2025. "Expected Values of Order Statistics in Finite Samples from Normal Mixture Distributions," Methodology and Computing in Applied Probability, Springer, vol. 27(4), pages 1-31, December.
- Qifan Song & Guang Cheng, 2020. "Bayesian Fusion Estimation via t Shrinkage," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 82(2), pages 353-385, August.
- Coin, Daniele, 2008. "A goodness-of-fit test for normality based on polynomial regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(4), pages 2185-2198, January.
- Daniele Coin, 2017. "A goodness-of-fit test for Generalized Error Distribution," Temi di discussione (Economic working papers) 1096, Bank of Italy, Economic Research and International Relations Area.
- Marc Garnica-Caparrós & Daniel Memmert & Fabian Wunderlich, 2022. "Artificial data in sports forecasting: a simulation framework for analysing predictive models in sports," Information Systems and e-Business Management, Springer, vol. 20(3), pages 551-580, September.
- Nathan Lassance & Frédéric Vrins, 2021.
"Minimum Rényi entropy portfolios,"
Annals of Operations Research, Springer, vol. 299(1), pages 23-46, April.
- Nathan Lassance & Fr'ed'eric Vrins, 2017. "Minimum R\'enyi Entropy Portfolios," Papers 1705.05666, arXiv.org, revised Jul 2018.
- Lassance, Nathan & Vrins, Frédéric, 2019. "Minimum Rényi entropy portfolios," LIDAM Discussion Papers LFIN 2019003, Université catholique de Louvain, Louvain Finance (LFIN).
- Lassance, Nathan & Vrins, Frédéric, 2019. "Minimum Rényi entropy portfolios," LIDAM Reprints LFIN 2019009, Université catholique de Louvain, Louvain Finance (LFIN).
- Nathan Lassance & Frédéric Vrins, 2019. "Minimum Rényi entropy portfolios," LIDAM Reprints CORE 3062, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- LASSANCE Nathan, & VRINS Frédéric,, 2019. "Minimum Rényi entropy portfolios," LIDAM Discussion Papers CORE 2019001, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Heiny Erik L. & Heiny Robert Lowell, 2014. "Stochastic model of the 2012 PGA Tour season," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(4), pages 367-379, December.
- Fabian Wunderlich & Daniel Memmert, 2018. "The Betting Odds Rating System: Using soccer forecasts to forecast soccer," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-18, June.
- Osman, Hany & Demirli, Kudret, 2012. "Integrated safety stock optimization for multiple sourced stockpoints facing variable demand and lead time," International Journal of Production Economics, Elsevier, vol. 135(1), pages 299-307.
- Goldner Keith, 2012. "A Markov Model of Football: Using Stochastic Processes to Model a Football Drive," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-18, March.
- Bizzozero, Paolo & Flepp, Raphael & Franck, Egon, 2016.
"The importance of suspense and surprise in entertainment demand: Evidence from Wimbledon,"
Journal of Economic Behavior & Organization, Elsevier, vol. 130(C), pages 47-63.
- Paolo Bizzozero & Raphael Flepp & Egon Franck, 2016. "The Importance of Suspense and Surprise in Entertainment Demand: Evidence from Wimbledon," Working Papers 357, University of Zurich, Department of Business Administration (IBW).
- Seongmin Kang & Jeahyung Cha & Changsang Cho & Ki-Hyun Kim & Eui-Chan Jeon, 2020. "Estimation of appropriate CO2 concentration sampling cycle for MSW incinerators," Energy & Environment, , vol. 31(3), pages 535-544, May.
- Gonzalez-Cabrera Ivan & Herrera Diego Dario & González Diego Luis, 2020. "Generalized model for scores in volleyball matches," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(1), pages 41-55, March.
- Zhichao Zheng & Karthik Natarajan & Chung-Piaw Teo, 2016. "Least Squares Approximation to the Distribution of Project Completion Times with Gaussian Uncertainty," Operations Research, INFORMS, vol. 64(6), pages 1406-1421, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:jqsprt:v:10:y:2014:i:3:p:11:n:3. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyterbrill.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/a/bpj/jqsprt/v10y2014i3p11n3.html