A multi-criteria approach for evaluating major league baseball batting performance

被引:1
|
作者
Wulff, Shaun S. [1 ]
De Silva, Waradana Priyantha [1 ]
机构
[1] Univ Wyoming, Dept Math & Stat, Laramie, WY 82071 USA
关键词
Baseball; MANOVA; pareto optimal; player ranking; sabermetric; weighted aggregation;
D O I
10.3233/JSA-200298
中图分类号
F [经济];
学科分类号
02 ;
摘要
The evaluation of player performance typically involves a number of criteria representing various aspects of performance that are of interest. Pareto optimality and weighted aggregation are useful tools to simultaneously evaluate players with respect to the multiple criteria. In particular, the Pareto approach allows trade-offs among the criteria to be compared, does not require specifications of weighting schemes, and is not sensitive to the scaling of the criteria. The Pareto optimal players can be scored according to their ranks or according to their distance from the global optimum for informative comparisons of performance or for evaluating trade-offs among the criteria. These multi-criteria approaches are defined and illustrated for evaluating batting performance of Major League Baseball players.
引用
收藏
页码:85 / 98
页数:14
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