On stratified randomized response sampling

Article type: Research Article

Authors: Ryu, Jea-Bok^{a; *} | Kim, Jong-Min^b | Heo, Tae-Young^c | Park, Chun Gun^d

Affiliations: [a] Statistics, Division of Life Science and Genetic Engineering and Statistics, Cheongju University, Cheongju, Chungbuk, 360-764, Republic of Korea | [b] Statistics, Division of Science and Mathematics, University of Minnesota, Morris, MN, 56267, USA | [c] Department of Statistics, North Carolina State University, Raleigh, NC, 27695, USA | [d] National Cancer Center, Ilsan, Goyang-si, Gyeonggi-do, 411-769, Republic of Korea

Correspondence: [*] Corresponding author: Jea-Bok Ryu, Statistics, Division of Life Science and Genetic Engineering and Statistics, Cheongju University, Cheongju, Chungbuk, 360-764, Republic of Korea. E-mail: [email protected]

Abstract: In this paper, we propose a new quantitative randomized response model based on Mangat and Singh [7] two-stage randomized response model. We derive the estimator of the sensitive variable mean, and show that our method is more efficient than other randomized response models suggested by Greenberg et al. [3] and Gupta et al. [4] estimators.

Keywords: Quantitative randomized response technique, sensitive characteristics, stratified sampling

DOI: 10.3233/MAS-2006-1106

Journal: Model Assisted Statistics and Applications, vol. 1, no. 1, pp. 31-36, 2006