Research paper
Connections between survey calibration estimators and semiparametric models for incomplete data
About this item
- Title
- Connections between survey calibration estimators and semiparametric models for incomplete data
- Content partner
- The University of Auckland Library
- Collection
- ResearchSpace@Auckland
- Description
Survey calibration (or generalized raking) estimators are a standard approach to the use of auxiliary information in survey sampling, improving on the simple Horvitz–Thompson estimator. In this paper we relate the survey calibration estimators to the semiparametric incomplete-data estimators of Robins and coworkers, and to adjustment for baseline variables in a randomized trial. The development based on calibration estimators explains the “estimated weights” paradox and provides useful heuris...
- Format
- Research paper
- Research format
- Journal article
- Date created
- 2011
- Creator
- Lumley, Thomas / Shaw, PA / Dai, JY
- URL
- http://hdl.handle.net/2292/12583
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Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 22 April 2012, and updated 12 April 2024.
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