Chapter 10
Baseball: Exploring Data in a Relational Database
Deborah Nolan
University of California, Berkeley
Duncan Temple Lang
University of California, Davis
10.1 Introduction
Baseball fascinates many Americans and others, and many statisticians share this fascination with the sport. Nate Silver, who gained wide acclaim for the accuracy of his novel statistical methods to predict election outcomes, has also used statistics to study issues in baseball, such as the trade-offs in scheduling cold-weather games, home-field advantage, and effects of steroid use (see http://www.baseballprospectus.com/news/?author=59). This search for new baseball knowledge through statistical measures of in-game activity has been coined “sabermetrics” after the Society ...
Get Data Science in R now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
