A characterization of the degree of weak and strong links in doubles sports

Gill Paramjit S. and Swartz Tim B. ()
Additional contact information
Gill Paramjit S.: Irving K. Barber School of Arts and Sciences, University of British Columbia Okanagan, 3333 University Way, Kelowna BC V1V1V7, Canada
Swartz Tim B.: Department of Statistics and Actuarial Science, Simon Fraser University, 8888 University Drive, Burnaby BC V5A1S6, Canada

Journal of Quantitative Analysis in Sports, 2019, vol. 15, issue 2, 155-162

Abstract: This paper proposes a model that characterizes the degree to which a doubles sport (i.e. two team members) is a weak or a strong link game. The model is applied to the sport of pickleball where interest is focused on the doubles version of the sport. As a byproduct of the analysis, individual player rankings are obtained.

Keywords: Bayesian analysis; Markov chain Monte Carlo; Pickleball; Regularized regression; WinBUGS (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/jqas-2018-0080 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:jqsprt:v:15:y:2019:i:2:p:155-162:n:4

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jqas/html

DOI: 10.1515/jqas-2018-0080

Access Statistics for this article

Journal of Quantitative Analysis in Sports is currently edited by Mark Glickman

More articles in Journal of Quantitative Analysis in Sports from De Gruyter
Bibliographic data for series maintained by Peter Golla ().