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Activity Number:
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510
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2008 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #302312 |
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Title:
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Robust Predictions Based on Model-Based Approaches
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Author(s):
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Bing Han*+
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Companies:
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RAND Corporation
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Address:
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, , 90401,
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Keywords:
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Residual ; Model-based approach ; Robust prediction
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Abstract:
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We discuss a robust prediction tool based on the residuals of a model-based approach to survey data. The observed residuals can be used to estimate the error distribution under the i.i.d. assumption. The resulted prediction interval has better accuracy than the asymptotic normal or t prediction interval. We illustrate the potential by the analysis of historical trend of obesity in American young adult from the national health survey BRFSS.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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