Document Type

Post-Print

Publication Date

1-1-1997

Subjects

Data envelopment analysis, Baseball players -- Statistics

Abstract

Data Envelopment Analysis (DEA) is used to create an alternative to traditional batting statistics called the Composite Batter Index (CBI). Advantages of CBI over traditional statistics include the fact that players are judged on the basis of what they accomplish relative to other players and that it automatically accounts for changing conditions of the game that raise or lower batting statistics. Historical results are examined to show how the industry of baseball batting has matured and potential uses of CBI are discussed. The application of baseball suggests that random variation may have an effect on CBI. We investigated this effect by creating noisy data sets based on actual data sets and then compared the results, which revealed a negative bias in the majority of cases. We then present and test an extension to DEA for mitigating this effect of noise in evaluating a batter's true "skill".

Description

NOTICE: this is the author’s version of a work that was accepted for publication in Annals of Operations Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication.

A definitive version was subsequently published in Annals of Operations Research Volume 73, Issue 0, pp 141-155 and can be found online at: http://dx.doi.org/10.1023/A:1018921026476

DOI

10.1023/A:1018921026476

Persistent Identifier

http://archives.pdx.edu/ds/psu/9253

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