Multi-stage Optional Unrelated Question RRT Model

DOI

10.2991/jsta.2016.15.1.7How to use a DOI?

Keywords

Unrelated Question RRT Models, Optional RRT Models, Simulation Study, Parameter Estimation and Privacy Protection.

Abstract

Sihm et al. (2014) introduced modified optional unrelated question RRT model in both binary and quantitative response situations wherein the prevalence of the sensitive variable and the sensitivity level of the underlying sensitive question could be estimated simultaneously without using a split sample approach. In this study, we propose a three-stage optional unrelated question RRT model for both binary and quantitative response situations which combines the essence of Sihm et al. (2014) model and the three-stage optional additive RRT model proposed by Mehta et al. (2012). The efficiencies of Sihm et al. (2014) model and proposed three-stage optional unrelated question RRT model are compared using simulations. The privacy measures of the two models in question are also discussed. Comparisons for the binary models are based on Lanke (1976) measure while Yan et al. (2009) measure is used to compare the privacy measures for the quantitative models.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Anu Chhabra
AU  - B.K. Dass
AU  - Samridhi Mehta
PY  - 2016
DA  - 2016/03/01
TI  - Multi-stage Optional Unrelated Question RRT Model
JO  - Journal of Statistical Theory and Applications
SP  - 80
EP  - 95
VL  - 15
IS  - 1
SN  - 2214-1766
UR  - https://doi.org/10.2991/jsta.2016.15.1.7
DO  - 10.2991/jsta.2016.15.1.7
ID  - Chhabra2016
ER  -