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Activity Number: 248
Type: Invited
Date/Time: Tuesday, August 4, 2009 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #302882
Title: Extended Small Area Models for Analysis of Nonlinear Effects and Extremes
Author(s): Snigdhansu Chatterjee*+
Companies: The University of Minnesota
Address: , Minneapolis, MN, ,
Keywords: BLUP ; Fay-Herriot ; robustness ; nonlinear effects ; extremes
Abstract:

Building on the Fay-Herriot model and Henderson's method of obtaining best linear unbiased predictor (BLUP), we propose an extended small area model that does not require an explicit two-level parametric modeling. This extended model may be used in several ways, including robustness studies, quantile based analysis, nonlinear mixed effects modeling and studying extremes. A few of these applications are discussed in detail, and data examples are provided.

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