A successful and ideal randomized orthogonal additive response model

Authors

Manzoor A. Khanday, Department of Statistics, Faculty of Chemical Engineering and Physical Sciences, Lovely Professional University Punjab, IndiaFollow
Tanveer A. Tarray, Department of Mathematical Sciences, Islamic University of Science and Technology, Kashmir, IndiaFollow
S. Alkhazaleh, Department of Mathematics, Faculty of Science and Information Technology, Jadara University, Irbid, JordanFollow
A. Ibrahim, Department of Statistics, Faculty of Chemical Engineering and Physical Sciences, Lovely Professional University Punjab, IndiaFollow
Pratyay Das, Department of Statistics, Faculty of Chemical Engineering and Physical Sciences, Lovely Professional University Punjab, IndiaFollow
Akansha Rawat, Department of Statistics, Faculty of Chemical Engineering and Physical Sciences, Lovely Professional University Punjab, IndiaFollow

Author Country (or Countries)

India

Abstract

An innovative additive randomized response technique (RRT) has been put forth in this study. The proposed models characteristics have been researched. Theoretically, it has been demonstrated that under highly realistic circumstances, the recommended additive model is superior to the existing one. RRTs are used to lessen response biases in sensitive research question self-report surveys (e.g., on socially undesirable characteristics). Evidence suggests that they cannot entirely eradicate self-protective response mechanisms. There are RRTs made especially to assess the effectiveness of such tactics in order to solve this issue. Also provided in support of the current study are numerical examples.

Digital Object Identifier (DOI)

https://dx.doi.org/10.18576/jsap/130210

Recommended Citation

A. Khanday, Manzoor; A. Tarray, Tanveer; Alkhazaleh, S.; Ibrahim, A.; Das, Pratyay; and Rawat, Akansha (2024) "A successful and ideal randomized orthogonal additive response model," Journal of Statistics Applications & Probability: Vol. 13: Iss. 2, Article 12.
DOI: https://dx.doi.org/10.18576/jsap/130210
Available at: https://digitalcommons.aaru.edu.jo/jsap/vol13/iss2/12