An Offensive Earned-Run Average for Baseball
نویسندگان
چکیده
منابع مشابه
An Offensive Earned-Run Average for Baseball
This paper studies a baseball statistic that plays the role of an offensive earned-run average (OERA). The OERA of an individual i s simply the number of earned runs per game that he would score if he batted in all nine positions in the line-up. Evaluation can be performed by hand b y scoring the sequence of times at bat of a given batter. This statistic has the obvious natural interpretation a...
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This research uses a new analytical approach for baseball evaluation, referred to as "A Bench Mark Approach," [1] by combining DEA (Data Envelopment Analysis) with OERA (Offensive Earned-Run Average). An important feature of the approach is that it can select a best performer among many baseball players and evaluate their ranking scores. The DEA is an evaluation technique of various entities in...
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A large class of sequential decision-making problems under uncertainty can be modeled as Markov and Semi-Markov Decision Problems, when their underlying probability structure has a Markov chain. They may be solved by using classical dynamic programming methods. However, dynamic programming methods suffer from the curse of dimensionality and break down rapidly in face of large state spaces. In a...
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While Major League Baseball employs a wide variety of races and ethnicities, including white, African-American, Hispanic, and Asian players, it is possible that professional rosters may not be organized based on talent alone. Although studies have shown that salary discrimination is no longer present in Major League Baseball, this paper explores the possibility of a marginality bias in the spor...
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ژورنال
عنوان ژورنال: Operations Research
سال: 1977
ISSN: 0030-364X,1526-5463
DOI: 10.1287/opre.25.5.729