JSM 2005 - Toronto

Abstract #303620

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 277
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor: General Methodology
Abstract - #303620
Title: Density Power Divergence
Author(s): Ian Harris*+
Companies: Southern Methodist University
Address: , Dallas, TX, 75214, United States
Keywords: robustness ; likelihood
Abstract:

The density power divergence is a family of divergence measures. Minimization of the divergences between a parametric model and the data leads to estimators of the model parameters. The estimators include the maximum likelihood estimator (MLE) and can be viewed as a generalization of such. The family of estimators thus generated include members that are almost as efficient as the MLE, but far more robust to outliers. I illustrate the method on a variety of models, including mixture distributions and random effects models.

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Revised March 2005