Activity Number:
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631
- Small Area Estimation: “Producing Estimates for Small Areas from Sampled Data”
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Type:
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Invited
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Date/Time:
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Thursday, August 1, 2019 : 10:30 AM to 12:20 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #300458
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Presentation
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Title:
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Small Area Estimates Using Tree Based Models
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Author(s):
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Daniell Toth* and Kelly McConville
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Companies:
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U.S. Bureau of Labor Statistics and Reed College
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Keywords:
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machine learning;
random forest;
sample design;
indirect estimators;
survey data;
model-assisted
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Abstract:
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We investigate the use of models based on regression trees to produce estimates of population means for small areas. We discuss different types of domains and methods for handling them using a variety of tree based estimators and compare their performance using the US Bureau of Labor Statistics data.
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Authors who are presenting talks have a * after their name.