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February 2017 Ranked set sampling with scrambled response model to subsample non-respondents
Shakeel Ahmed, Javid Shabbir
Braz. J. Probab. Stat. 31(1): 179-193 (February 2017). DOI: 10.1214/16-BJPS308

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.

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Shakeel Ahmed. Javid Shabbir. "Ranked set sampling with scrambled response model to subsample non-respondents." Braz. J. Probab. Stat. 31 (1) 179 - 193, February 2017. https://doi.org/10.1214/16-BJPS308

Information

Received: 1 June 2015; Accepted: 1 January 2016; Published: February 2017
First available in Project Euclid: 25 January 2017

zbMATH: 1362.62019
MathSciNet: MR3601666
Digital Object Identifier: 10.1214/16-BJPS308

Keywords: coefficient of variation , non-response , ranked set sampling , scrambled response

Rights: Copyright © 2017 Brazilian Statistical Association

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Vol.31 • No. 1 • February 2017
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