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Activity Number:
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172
- Thinking Outside the Box: Innovative Methods for Estimation and Inference for Surveys
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Type:
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Invited
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Date/Time:
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Monday, August 8, 2022 : 2:00 PM to 3:50 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #320347
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Title:
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Incorporating Order Restrictions in Survey Domain Mean Estimation and Inference
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Author(s):
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Mary C Meyer and Xiyue Liao* and Xiaoming Xu and Jean Opsomer
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Companies:
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Colorado State University and California State University, Long Beach and Duke University and Westat
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Keywords:
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monotonicity;
block monotonicity;
covariance estimation
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Abstract:
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New methodology for constrained estimation and inference for survey domain means has been developed over the past few years. Imposing a priori information in the form of order and shape constraints results in smaller variance for the estimators, which leads to smaller confidence intervals with good coverage rates. A one-sided test has been developed for survey data, an example being constant versus increasing population domain means. The methods are available in the R package csurvey, an extension of the well known survey package. We present examples of implementation with data from the National Survey of College Graduates, and with data the NHANES survey.
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Authors who are presenting talks have a * after their name.
