Curve Ball: Baseball, Statistics, and the Role of Chance in the Game

By M. Schell. 2002

66 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/aa303ddfedb34f6c24bc917477e90092d8e0a71f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Lawrence D. Brown
2. Markus Raab
3. Suzanne B. Shu
4. Kurt A. Carlson
5. Anne‐Claire Macquet
6. Shane T. Mueller
7. Gerd Gigerenzer
8. S. Depaoli

In Statistics and Probability

1. Lawrence D. Brown
2. Suzanne B. Shu
3. Kurt A. Carlson
4. Jiaying Gu
5. Roger W. Koenker
6. Cun-Hui Zhang
7. S. Depaoli
8. James P. Clifton

Citations in the corpus

• Twenty years of “hot hand” research: Review and critique (2006, background): “Albert and Bennett (2001) Baseball The Major League player Todd Zeile's day-to-day moving average of batting performances over the first half of the 1999 season.”
• In-season prediction of batting averages: A field test of empirical Bayes and Bayes methodologies (2008, background): “See Albright (1993) and Albert and Bennett (2001), and references therein.”
• The rule of three: How the third event signals the emergence of a streak. (2007, background): “–Luol Deng, NBA basketball player A substantial body of research has established that people perceive streaks in random data (Albert & Bennett, 2001; Albright, 1993; Gilovich, Vallone, & Tversky, 1985).”