Randomized response (RR) techniques are used to collect information of a sensitive nature. Quite a large number of RR techniques are available in the literature for estimating finite population characteristics. The aim of this paper is to provide optimum sampling strategies under different superpopu
Model assisted survey sampling strategies with randomized response
β Scribed by Arijit Chaudhuri; Debesh Roy
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 450 KB
- Volume
- 60
- Category
- Article
- ISSN
- 0378-3758
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β¦ Synopsis
For estimating survey population totals with direct responses, use of QR-predictors motivated by postulated linear regression models and their asymptotic design-based analysis is rapidly becoming common. Their extension with randomized responses, to cover sensitive issues, is illustrated providing asymptotically optimal predictors along with variance estimators. Exact design unbiasedness requirement is replaced by asymptotic design unbiasedness restriction.
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