Comparing the performance of baseball players : a multiple output approach
Koop, Gary (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.
Creators(s): |
Koop, Gary ![]() | Item type: | Article |
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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: | 24 Jan 2021 02:37 |
URI: | https://strathprints.strath.ac.uk/id/eprint/6945 |
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