Improved estimator for the estimation of sensitive variable using ORRT models
Author:
Affiliation:
1. Department of Statistics, University of Jammu, Jammu Tawi, J&K, India
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/27684520.2024.2318383
Reference23 articles.
1. Use of scrambled response model in estimating the finite population mean in presence of non response when coefficient of variation is known
2. Almost unbiased estimators for population mean in the presence of non-response and measurement error;Audu A;J Stat Manag Syst,2020
3. Azeem M. 2014. On estimation of population mean in the presence of measurement error and non-response [Unpublished Ph.D. thesis]. Lahore: National College of Business Administration and Economics.
4. A comparison of inclusive and restrictive strategies in modern missing data procedures.
5. Hansen and Hurwitz estimator with scrambled response on the second call
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