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Activity Number:
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283
- GSS/SSS/SRMS Student Paper Award Presentations
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 1, 2017 : 8:30 AM to 10:20 AM
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Sponsor:
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Social Statistics Section
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Abstract #322922
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View Presentation
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Title:
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Checking Validity of Constrained Survey Estimators
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Author(s):
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Cristian Oliva* and Mary Meyer and Jean Opsomer
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Companies:
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Colorado State University and Colorado State University and Colorado State University
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Keywords:
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Domain ;
Estimation ;
Monotone ;
Sampling ;
Surveys
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Abstract:
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Estimates of population characteristics such as domain means are often expected to follow qualitative assumptions. Domain mean estimation and inference have been showed to be improved when monotone constraints are incorporated along with sampling design of surveys, in comparison with common methods that do not take them into account. However, assuming incorrect shape constraints could lead to biased estimators. We develop the Cone Information Criterion for Survey Data (CICs) as a diagnostic method to measure monotonicity departures on population domain means.
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Authors who are presenting talks have a * after their name.
