Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model
Author:
Affiliation:
1. Department of Mathematics, Guru Nanak Dev University, Amritsar-143005, Punjab, India
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability
Reference31 articles.
1. Bahl, S. and Tuteja, R. (1991). Ratio and product type exponential estimators. Journal of information and optimization sciences 12, 159–164.
2. Diana, G. and Perri, P.F. (2011). A class of estimators for quantitative sensitive data. Statistical Papers 52, 633–650.
3. Eichhorn, B. H. and Hayre, L. S. (1983). Scrambled randomized response methods for obtaining sensitive quantitative data. Journal of Statistical Planning and inference 7, 307–316.
4. Greenberg, B. G., Abul-Ela Abdel-Latif, A., Simmons, W. R. and Horvitz, D. G. (1969). The unrelated question randomized response model: Theoretical framework. Journal of the American Statistical Association 64, 520–539.
5. Grover, L.K. and Kaur, A. (2019). An Efficient Scrambled Estimator of Population Mean of Quantitative Sensitive Variable Using General Linear Transformation of Non-sensitive Auxiliary Variable. Communications in Mathematics and Statistics 7, 401–415.
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