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Communications in Statistics - Simulation and Computation Volume 46, 2017 - Issue 3
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Original Articles

A regression estimator for finite population mean of a sensitive variable using an optional randomized response model

Sat GuptaDepartment of Mathematics and Statistics, The University of North Carolina at Greensboro, Greensboro, North Carolina, USACorrespondence[email protected]
,
Geeta KaluchaDepartment of Mathematics, University of Delhi, Delhi, India
&
Javid ShabbirDepartment of Statistics, Quaid-I-Azam University, Islamabad, Pakistan
Pages 2393-2405 | Received 05 Nov 2014, Accepted 20 Apr 2015, Published online: 01 Dec 2016

Citations (10)

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Read on this site (7)

Kavya Pushadapu & Sarjinder Singh. (2024) Chaudhuri and Mukerjee ORRT for two sensitive characteristics and their overlap. Journal of Statistical Computation and Simulation 94:5, pages 1056-1072.
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Wenhao Shou & Sat Gupta. (2023) Kernel density estimation using additive randomized response technique (RRT) models. Communications in Statistics - Simulation and Computation 0:0, pages 1-10.
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Sunil Kumar & Sanam Preet Kour. (2022) The joint influence of estimation of sensitive variable under measurement error and non-response using ORRT models. Journal of Statistical Computation and Simulation 92:17, pages 3583-3604.
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Iram Saleem, Aamir Sanullah, Javid Shabbir, Husna Sadaf & Riffat Jabeen. (2022) Efficient class of estimators for the estimation of the mean of a sensitive variable using multi-auxiliary variables. Journal of Statistical Computation and Simulation 92:14, pages 2908-2940.
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Iram Saleem & Aamir Sanaullah. (2022) Estimation of mean of a sensitive variable using efficient exponential-type estimators in stratified sampling. Journal of Statistical Computation and Simulation 92:2, pages 232-248.
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Sadia Khalil, Qi Zhang & Sat Gupta. (2021) Mean estimation of sensitive variables under measurement errors using optional RRT models. Communications in Statistics - Simulation and Computation 50:5, pages 1417-1426.
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Aamir Sanaullah, Iram Saleem & Javid Shabbir. (2020) Use of scrambled response for estimating mean of the sensitivity variable. Communications in Statistics - Theory and Methods 49:11, pages 2634-2647.
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Articles from other publishers (3)

Iram Saleem, Aamir Sanaullah, Laila A. Al-Essa, Shakila Bashir & Aned Al Mutairi. (2023) Efficient estimation of population variance of a sensitive variable using a new scrambling response model. Scientific Reports 13:1.
Crossref
Lovleen Kumar Grover & Amanpreet Kaur. (2022) Additive ratio type exponential estimator of finite population mean of sensitive variable using non-sensitive auxiliary information based on optional randomized response model. Brazilian Journal of Probability and Statistics 36:3.
Crossref
R. Mukerjee. 2016. Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits. Data Gathering, Analysis and Protection of Privacy Through Randomized Response Techniques: Qualitative and Quantitative Human Traits 331 340 .

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