Document Type
Article - On Campus Only
Publication Date
2004
Abstract
This study offers a method of evaluating the stability of ranks of a data vector over time. In particular, we study improvement of a process observed over time where the data is ranked. The degree of competition at a major tennis championship (Wimbledon) as well as how trends in the level of competition have changed over time is studied. A metric for shifts in competitiveness and a new statistical methodology is proposed. The findings suggest that competitiveness at Wimbledon has been extremely high. The study offers implications for the sport of tennis as well as an approach to measuring competitive dynamics that can be applied to other contexts.
Original Publication Citation
Rohm, Andrew J., Sangit Chatterjee, and Mohamed Habibullah. "Strategic Measure of Competitiveness for Ranked Data." Managerial and Decision Economics 25, no. 2 (2004): 103-08.
Digital Commons @ LMU & LLS Citation
Rohm, Andrew, "Strategic Measure of Competitiveness for Ranked Data" (2004). Marketing & Business Law Faculty Works. 34.
https://digitalcommons.lmu.edu/mbl_fac/34
