Brazilian Journal of Probability and Statistics

Ranked set sampling with scrambled response model to subsample non-respondents

Shakeel Ahmed and Javid Shabbir

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Abstract

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.

Article information

Source
Braz. J. Probab. Stat., Volume 31, Number 1 (2017), 179-193.

Dates
Received: June 2015
Accepted: January 2016
First available in Project Euclid: 25 January 2017

Permanent link to this document
https://projecteuclid.org/euclid.bjps/1485334830

Digital Object Identifier
doi:10.1214/16-BJPS308

Mathematical Reviews number (MathSciNet)
MR3601666

Zentralblatt MATH identifier
1362.62019

Keywords
Non-response scrambled response coefficient of variation ranked set sampling

Citation

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


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