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Comparing the performance of baseball players: a multiple output approach

Koop, G.M. (2002) Comparing the performance of baseball players: a multiple output approach. Journal of the American Statistical Association, 97 (459). pp. 710-720. ISSN 0162-1459

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Abstract

This article extends ideas from the economics literature on multiple output production and efficiency to develop methods for comparing baseball players that take into account the many dimensions to batting performance. A key part of this approach is the output aggregator. The weights in this output aggregator can be selected a priori (as is done with batting or slugging averages) or can be estimated statistically based on the performance of the best players in baseball. Once the output aggregator is obtained, an individual player can then be measured relative to the best, and a number between 0 and 1 characterizes his performance as a fraction of the best. The methods are applied to hitters using data from 1995-1999 on all regular players in baseball's major leagues.

Item type: Article
ID code: 6945
Notes: Working paper version
Keywords: bayesian, markov chain, monte carlo method, statistics, stochastic frontier model, economics, Probabilities. Mathematical statistics, Economic Theory, Statistics and Probability, Statistics, Probability and Uncertainty
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Social Sciences > Economic Theory
Department: Strathclyde Business School > Economics
Depositing user: Strathprints Administrator
Date deposited: 03 Oct 2008
Last modified: 23 Sep 2017 15:12
Related URLs:
URI: https://strathprints.strath.ac.uk/id/eprint/6945
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