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Journal of Statistical Theory and Practice Volume 2, 2008 - Issue 4
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Original Articles

A Randomized Response Technique for Quantitative Data under Unequal Probability Sampling

Amitava Saha Directorate General of Commercial Intelligence & Statistics, 1, Council House Street, Kolkata, 700001, India
Pages 589-596 | Received 01 Jun 2006, Published online: 30 Nov 2011

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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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Zara Waseem, Hina Khan & Javid Shabbir. (2021) Generalized exponential type estimator for the mean of sensitive variable in the presence of non-sensitive auxiliary variable. Communications in Statistics - Theory and Methods 50:14, pages 3477-3488.
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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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Usman Shahzad, Pier Francesco Perri & Muhammad Hanif. (2019) A new class of ratio-type estimators for improving mean estimation of nonsensitive and sensitive variables by using supplementary information. Communications in Statistics - Simulation and Computation 48:9, pages 2566-2585.
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Usman Shahzad, Muhammad Hanif, Nursel Koyuncu & Amelia Victoria Garcia Luengo. (2018) A new estimator of mean under ranked set sampling alongside the sensitivity issue. Journal of Statistics and Management Systems 21:8, pages 1553-1564.
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Sadia Khalil, Muhammad Noor-ul-Amin & Muhammad Hanif. (2018) Estimation of population mean for a sensitive variable in the presence of measurement error. Journal of Statistics and Management Systems 21:1, pages 81-91.
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Sat Gupta, Geeta Kalucha & Javid Shabbir. (2017) A regression estimator for finite population mean of a sensitive variable using an optional randomized response model. Communications in Statistics - Simulation and Computation 46:3, pages 2393-2405.
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Geeta Kalucha, Sat Gupta & B. K. Dass. (2015) Ratio Estimation of Finite Population Mean Using Optional Randomized Response Models. Journal of Statistical Theory and Practice 9:3, pages 633-645.
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Nursel Koyuncu, Sat Gupta & Rita Sousa. (2014) Exponential-Type Estimators of the Mean of a Sensitive Variable in the Presence of Nonsensitive Auxiliary Information. Communications in Statistics - Simulation and Computation 43:7, pages 1583-1594.
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Samridhi Mehta, B. K. Dass, Javid Shabbir & Sat Gupta. (2012) A Three-Stage Optional Randomized Response Model. Journal of Statistical Theory and Practice 6:3, pages 417-427.
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Sat Gupta, Javid Shabbir, Rita Sousa & Pedro Corte-Real. (2012) Estimation of the Mean of a Sensitive Variable in the Presence of Auxiliary Information. Communications in Statistics - Theory and Methods 41:13-14, pages 2394-2404.
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Sat Gupta, Samridhi Mehta, Javid Shabbir & B. K. Dass. (2011) Some Optimality Issues in Estimating Two-Stage Optional Randomized Response Models. American Journal of Mathematical and Management Sciences 31:1-2, pages 1-12.
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Rita Sousa, Javid Shabbir, Pedro Corte Real & Sat Gupta. (2010) Ratio Estimation of the Mean of a Sensitive Variable in the Presence of Auxiliary Information. Journal of Statistical Theory and Practice 4:3, pages 495-507.
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Articles from other publishers (14)

Muhammad Nouman Qureshi, Yousaf Faizan, Amrutha Shetty, Marwan H. Ahelali, Muhammad Hanif & Osama Abdulaziz Alamri. (2024) Ln-type estimators for the estimation of the population mean of a sensitive study variable using auxiliary information. Heliyon 10:1, pages e23066.
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Subhash Kumar Yadav, Amit Kumar Misra & Tarushree Bari. (2023) Generalized Double Sampling Class of Estimators for Population mean of Sensitive Variable Using Non-sensitive Auxiliary Parameters. Journal of the Indian Society for Probability and Statistics 24:2, pages 581-598.
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Abdullah Mohammed Alomair & Usman Shahzad. (2023) Neutrosophic Mean Estimation of Sensitive and Non-Sensitive Variables with Robust Hartley–Ross-Type Estimators. Axioms 12:6, pages 578.
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Subhash Kumar Yadav, Tarushree Bari & Gajendra K. Vishwakarma. (2023) Generalized Double Sampling Family of Estimators for Population mean of Sensitive Variable Harnessing Non-sensitive Auxiliary Variable and Attribute. Sankhya B 85:1, pages 54-76.
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Usman Shahzad, Ishfaq Ahmad, Nadia H. Al-Noor, Soofia Iftikhar, A. H. Abd Ellah & Troon J. Benedict. (2022) Särndal Approach and Separate Type Quantile Robust Regression Type Mean Estimators for Nonsensitive and Sensitive Variables in Stratified Random Sampling. Journal of Mathematics 2022, pages 1-14.
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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.
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Usman Shahzad, Ishfaq Ahmad, Muhammad Hanif & Nadia H. Al‐Noor. (2022) Estimation of coefficient of variation using linear moments and calibration approach for nonsensitive and sensitive variables. Concurrency and Computation: Practice and Experience 34:18.
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Gajendra K. Vishwakarma, Subhash Kumar Yadav & Tarushree Bari. (2022) Generalized Difference-Cum Exponential Class of Estimators for Estimating Population Parameters of the Sensitive Variable. Mathematical Problems in Engineering 2022, pages 1-11.
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G. N. Singh & Surbhi Suman. (2019) Shrinkage Estimation Procedure of Population Mean with Stigmatizing Character in Unrelated Question Randomized Response Technique. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 90:4, pages 615-621.
Crossref
Lovleen Kumar Grover & Amanpreet Kaur. (2018) 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 7:4, pages 401-415.
Crossref
Nursel KOYUNCU, Iram SALEEM, Aamir SANAULLAH & Muhammad HANIF. (2019) Estimation of Mean of a Sensitive Quantitative Variable in Complex Survey: Improved Estimator and Scrambled Randomized Response Model. Gazi University Journal of Science 32:3, pages 1021-1043.
Crossref
Usman Shahzad, Muhammad Hanif, Nursel Koyuncu & Amelia Victoria Garcia Luengo. (2019) A regression type estimator for mean estimation under ranked set sampling alongside the sensitivity issue. Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics, pages 2037-2049.
Crossref
Zawar Hussain, Mashail M. Al-Sobhi & Bander Al-Zahrani. (2014) Additive and Subtractive Scrambling in Optional Randomized Response Modeling. PLoS ONE 9:1, pages e83557.
Crossref
Arijit Chaudhuri & Tasos C. ChristofidesArijit Chaudhuri & Tasos C. Christofides. 2013. Indirect Questioning in Sample Surveys. Indirect Questioning in Sample Surveys 1 7 .

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