Estimation of a rare sensitive attribute in probability proportional to size measures using Poisson distribution

Gi Sung Lee, Daiho Uhm, Jong Min Kim

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

We propose new variants of Land et al.'s [Estimation of a rare sensitive attribute using Poisson distribution. Statistics. 2011. DOI: 10.1080/02331888.2010.524300] randomized response model when a population consists of some clusters and the population is stratified with some clusters in each stratum. The estimator for the mean number of persons who possess a rare sensitive attribute, its variance, and the variance estimator are suggested when the parameter of a rare unrelated attribute is assumed to be known and unknown. The clusters are selected with and without replacement. When they are selected with replacement, the selecting probabilities for each cluster are defined depending on the cluster sizes and with equal probability. In addition, the variance comparison between a probability proportional to size (PPS) and PPS for stratification are performed. When the parameters vary in clusters, the stratified PPS has better efficiency than the PPS.

Original languageEnglish (US)
Pages (from-to)685-709
Number of pages25
JournalStatistics
Volume48
Issue number3
DOIs
StatePublished - May 2014

Bibliographical note

Funding Information:
The authors are thankful to the Editor-in-Chief Professor Dr O. Bunke, Editor-in-Chief Professor Dr Roland Fried, Associate Editor, and an anonymous learned referee for the valuable comments on the original version of this manuscript which led to substantial improvement. This work was supported by Woosuk University.

Keywords

  • PPS
  • Poisson distribution
  • randomized response model
  • rare sensitive attribute
  • rare unrelated attribute

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