Adaptive cluster sampling randomized response model with electronically application

Volume 14, Issue 1, pp 8--14 http://dx.doi.org/10.22436/jnsa.014.01.02

Publication Date: April 28, 2020 Submission Date: December 03, 2019 Revision Date: January 27, 2020 Accteptance Date: February 10, 2020

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Authors

Mahmoud M. Mansour - Department of MIS, Yanbu, Taibah University, Saudi Arabia. - Department of Statistics, Mathematics and Insurance, Benha University, Egypt. Enayat M. Abd Elrazik - Department of MIS, Yanbu, Taibah University, Saudi Arabia. - Department of Statistics, Mathematics and Insurance, Benha University, Egypt.

Abstract

It is difficult to estimate sensitive matters (e.g., addiction, drunken driving, and abortion) in population distributed over a large geographical area by conventional designs of sampling because of the social, political and security conditions that usually lead to their concentration in certain areas. An adaptive sampling scheme extending the initial sample by appropriate â€˜networkâ€™ formations dependent on well-defined â€˜neighborhoodsâ€™ brings about dramatic improvements exploiting the clustering tendencies of people by different places. On another hand to reduce non-response and response bias was needed to make people comfortable and to encourage truthful answers. So also we introduce a new technique to apply a randomized response by tablets, computers, mobile phones and etc. The relative efficiency and protection of the respondents of the proposed randomization device have been investigated. We illustrate our methods using real data from a survey study on the spread of the addiction phenomenon among high school students.

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ISRP Style

Mahmoud M. Mansour, Enayat M. Abd Elrazik, Adaptive cluster sampling randomized response model with electronically application, Journal of Nonlinear Sciences and Applications, 14 (2021), no. 1, 8--14

AMA Style

Mansour Mahmoud M., Abd Elrazik Enayat M., Adaptive cluster sampling randomized response model with electronically application. J. Nonlinear Sci. Appl. (2021); 14(1):8--14

Chicago/Turabian Style

Mansour, Mahmoud M., Abd Elrazik, Enayat M.. "Adaptive cluster sampling randomized response model with electronically application." Journal of Nonlinear Sciences and Applications, 14, no. 1 (2021): 8--14

Keywords

Randomized response method
sensitive attribute
rare unrelated attribute
adaptive cluster sampling

MSC

62D05

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