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Journal of Statistical Computation and Simulation Volume 90, 2020 - Issue 15
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Articles

An innovative optimal randomized response model using correlated scrambling variables

Maryam Murtazaa Department of Mathematics, COMSATS University Islamabad, Wah Campus, Islamabad, Pakistan;b Department of Statistics, Quaid-i-Azam University, Islamabad, Pakistan
,
Sarjinder Singhc Department of Mathematics, Texas A&M University-Kingsville, Kingsville, TX, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-3138-9640
ORCID Icon &
Zawar Hussaind Department of Social & Allied Sciences, Cholistan University of Veterinary & Animal Sciences, Bahawalpur, PakistanORCID Iconhttps://orcid.org/0000-0002-5109-3652
ORCID Icon
Pages 2823-2839 | Received 25 Nov 2019, Accepted 30 Jun 2020, Published online: 25 Jul 2020

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Sunil Kumar, Sanam Preet Kour & Qi Zhang. (2023) An enhanced ratio-cum-product estimator with non-response and observational error by utilizing ORRT models: a sensitive estimation approach. Journal of Statistical Computation and Simulation 93:5, pages 818-836.
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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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Gi-Sung Lee, Ki-Hak Hong & Chang-Kyoon Son. A stratified estimation for sensitive variable using correlated scrambling variables. Communications in Statistics - Theory and Methods 0:0, pages 1-12.
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Articles from other publishers (2)

Christopher Aguirre‐Hamilton, Stephen A. Sedory & Sarjinder Singh. (2023) Franklin's randomized response model with correlated scrambled variables. Statistica Neerlandica 78:2, pages 302-309.
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Muhammad Azeem. (2023) Using the exponential function of scrambling variable in quantitative randomized response models. Mathematical Methods in the Applied Sciences 46:13, pages 13882-13893.
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