This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 519
Type: Contributed
Date/Time: Wednesday, August 4, 2010 : 10:30 AM to 12:20 PM
Sponsor: IMS
Abstract - #308226
Title: Empirical Bayes In-Season Prediction of Baseball Batting Averages
Author(s): Wenhua Jiang*+ and Cun-Hui Zhang
Companies: National Heart, Lung, and Blood Institute and Rutgers University
Address: 2 Rockledge Centre, 6701 Rockledge Drive, Bethesda, MD, 20852,
Keywords: empirical Bayes ; partial linear model ; nonparametric estimation ; semiparametric estimation ; hitting ; batting average
Abstract:

The performance of a number of empirical Bayes methods are examined for the in-season prediction of batting averages with the 2005 Major League baseball data. Among the methodologies considered are new general empirical Bayes estimators in homoscedastic and heteroscedastic partial linear models.


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