𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Model assisted survey sampling strategies with randomized response

✍ Scribed by Arijit Chaudhuri; Debesh Roy


Publisher
Elsevier Science
Year
1997
Tongue
English
Weight
450 KB
Volume
60
Category
Article
ISSN
0378-3758

No coin nor oath required. For personal study only.

✦ 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.


πŸ“œ SIMILAR VOLUMES


Optimum Sampling Strategies under Random
✍ Raghunath Arnab πŸ“‚ Article πŸ“… 2002 πŸ› John Wiley and Sons 🌐 English βš– 77 KB

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

Fitting regression models with response-
✍ Alastair J. Scott; Chris J. Wild πŸ“‚ Article πŸ“… 2011 πŸ› John Wiley and Sons 🌐 French βš– 173 KB

## Abstract This paper extends the work in Lawless, Kalbfleisch, & Wild (1999) on fitting regression models with response‐biased samples, that is, samples where some or all the covariates are missing for some units and the probability that this happens depends in part on the value of the reponse of