Brazilian Journal of Probability and Statistics
- Braz. J. Probab. Stat.
- Volume 31, Number 1 (2017), 179-193.
Ranked set sampling with scrambled response model to subsample non-respondents
This paper considers use of the scrambled response model in Ranked Set Sampling (RSS) for collecting information on second call to estimate population mean when non-response is due to sensitivity of the study variable. It also uses Extreme Ranked Set Sampling (ERSS) and Median Ranked Set Sampling (MRSS) to sub-sample the non-respondents. Expressions for variances of different estimators are derived. A Monte Carlo experiment is carried out to observe the efficiency of proposed estimators.
Braz. J. Probab. Stat., Volume 31, Number 1 (2017), 179-193.
Received: June 2015
Accepted: January 2016
First available in Project Euclid: 25 January 2017
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Ahmed, Shakeel; Shabbir, Javid. Ranked set sampling with scrambled response model to subsample non-respondents. Braz. J. Probab. Stat. 31 (2017), no. 1, 179--193. doi:10.1214/16-BJPS308. https://projecteuclid.org/euclid.bjps/1485334830