The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Online Program Home
Abstract Details
Activity Number:
|
305
|
Type:
|
Contributed
|
Date/Time:
|
Tuesday, July 31, 2012 : 8:30 AM to 10:20 AM
|
Sponsor:
|
Section on Survey Research Methods
|
Abstract - #305502 |
Title:
|
A Hierarchical Mixture Model for Small-Area Estimation
|
Author(s):
|
Adrijo Chakraborty*+ and Gauri Datta and Abhyuday Mandal
|
Companies:
|
University of Georgia and University of Georgia and University of Georgia
|
Address:
|
101 Cedar Street, Athens, GA, 30602, United States
|
Keywords:
|
Survey Sampling ;
Small Area Estimation ;
Outliers ;
Mixture Models ;
Hierarchical Bayes ;
Noninformative priors
|
Abstract:
|
Model based small area estimation techniques are popular in survey sampling. Normal distribution of the sampling error and random small area effects in a mixed linear model is widely assumed. However, presence of outliers in the survey data could affect the fit of such models and the resulting small area estimates may fail to borrow information from other small areas. In order to account for possible presence of outliers, a Bayesian hierarchical finite scale mixture of normal models is proposed to analyze unit level data. A class of noninformative priors has been proposed for the hyperparameters. Propriety of the resulting posterior distributions under different choices of hyperpriors is studied. Performance of the model is illustrated through a simulation study.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2012 program
|
2012 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.