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Publication Type : Journal Article
Publisher : Journal of Computational and Applied Mathematics
Source : Journal of Computational and Applied Mathematics, Volume 395. (SCI-E)
Url : https://www.sciencedirect.com/science/article/abs/pii/S0377042721002132
Campus : Amritapuri
School : School of Physical Sciences
Department : Mathematics
Year : 2021
Abstract : The use of scramble variable is considered herein randomized response technique to estimate the parameters of the sensitive variable. We propose a generalized class of regression-cum ratio estimator for the mean estimation of the sensitive variable. Variables under study are assumed to be recorded with measurement error. Mean square error (MSE) of the proposed estimator and members of the estimators are computed in the presence of measurement error. The efficiency of the estimators and the proposed estimator is shown by the graph for different values of the correlation coefficient. A simulation study is also conducted to examine the influence of measurement error on the MSE of the proposed estimator and other estimators at the different levels of scramble variable response.
Cite this Research Publication : Vishwakarma, G.K., Singh, N. Computing the effect of measurement errors under additive scramble response of the sensitive variable. 2021,ISSN: 23495103. Journal of Computational and Applied Mathematics, Volume 395. (SCI-E).