57
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

Estimation of population mean of sensitive quantitative character using blank cards in randomized device

, &
Pages 1603-1630 | Received 30 Sep 2017, Accepted 25 Jun 2018, Published online: 03 Nov 2018
 

Abstract

This article presents the modified estimation procedures of population mean related to quantitative sensitive character with the help of a randomized device which makes the use of blank cards in the randomization process. Two different randomization techniques are used which consist the additive, multiplicative and combination of both scrambled models defined for sensitive characteristic. We also developed a privacy protection measure in situation where individuals are asked highly confidential questions concerning a quantitative sensitive character. The proposed techniques provide the unbiased estimation procedures of population mean along with enhanced privacy protection of the respondents. The comparisons of the proposed techniques have been made with respect to the Batool, Shabbir, and Hussain models. Numerical illustrations are presented to support the theoretical results.

MATHEMATICS SUBJECT CLASSIFICATION:

Acknowledgments

The authors are thankful to the reviewer for their valuable suggestions which helped in improving the quality of this article. The authors are also grateful to the IIT(ISM), Dhanbad, for providing the financial assistance and necessary infrastructure to carry out the present work.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,090.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.