Activity Number:
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482
- Recent Developments in Survey Sampling: Session in Honor of J.N.K. Rao's 80th Birthday
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Type:
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Invited
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Date/Time:
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Wednesday, August 2, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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SSC
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Abstract #322244
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Title:
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The Interplay Between the Practice and Theory of Survey Sampling: Past, Present, and Future
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Author(s):
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Graham Kalton*
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Companies:
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Westat
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Keywords:
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systematic sampling ;
stratified sampling ;
multi-stage sampling ;
two-phase sampling ;
imputation ;
calibration
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Abstract:
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This paper reviews the development of survey sampling practice and theory from the beginning of the twentieth century. The theoretical foundations of survey sampling design-based inference were presented in Neyman's 1934 landmark paper. This design-based approach is the norm for large-scale surveys; model-assisted methods are widely used in design and analysis but inference does not depend on the validity of statistical models. Since then, a variety of sampling methods has been devised and the associated theory developed. The need to estimate the precision of a survey's estimates from the selected sample has led to the development of theory for variance estimation for complex sample designs, including various replication methods. Over the years the issue of design-based versus model-based inference has often been debated. Even with the design-based approach, survey estimates are becoming more model-dependent because of rising nonresponse rates. Greater reliance on model-dependent inference has also occurred because of user demands for small area estimates, because of the desire to study hard-to-survey populations, and through the use of nonprobability methods for web surveys.
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Authors who are presenting talks have a * after their name.
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