Citations (56)
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Partha Mukhopadhyay, Garib Nath Singh & A. Bandyopadhyay. (2023) A general estimation technique of population mean under stratified successive sampling in presence of random scrambled response and non-response. Communications in Statistics - Simulation and Computation 52:11, pages 5288-5308.
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Sanghamitra Pal & Purnima Shaw. (2023) Estimation of finite population distribution function of sensitive variable*. Communications in Statistics - Theory and Methods 52:4, pages 1318-1331.
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Zara Waseem, Hina Khan, Javid Shabbir & Shan-e- Fatima. (2022) A generalized class of exponential type estimators for estimating the mean of the sensitive variable when using optional randomized response model. Communications in Statistics - Simulation and Computation 51:12, pages 7602-7612.
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Aamir Sanaullah, Iram Saleem, Sat Gupta & Muhammad Hanif. (2022) Mean estimation with generalized scrambling using two-phase sampling. Communications in Statistics - Simulation and Computation 51:10, pages 5643-5657.
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Pidugu Trisandhya, Kumari Priyanka & Ajay Kumar. (2022) Application of item sum technique for estimating quantitative sensitive mean on successive moves using auxiliary information. Communications in Statistics - Simulation and Computation 51:7, pages 3868-3887.
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Garib Nath Singh, Chandraketu Singh & Amod Kumar. (2022) A modified randomized device for estimation of population mean of quantitative sensitive variable with measure of privacy protection. Communications in Statistics - Simulation and Computation 51:4, pages 1867-1890.
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Muhammad Umair Sohail, Javid Shabbir, Fariha Sohil & Cem Kadilar. (2022) An introduction to sensible constraints for the imputation of missing values. Journal of Statistics and Management Systems 25:1, pages 157-185.
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Chandraketu Singh, Mustafa Kamal, Garib Nath Singh & Jong-Min Kim. (2021) Study to Alter the Nuisance Effect of Non-Response Using Scrambled Mechanism. Risk Management and Healthcare Policy 14, pages 1595-1613.
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Alaa Elkadry & Gary C. McDonald. (2021) Operating characteristics of a subset selection procedure applied to a randomized response model for continuous data. Communications in Statistics - Theory and Methods 50:1, pages 161-179.
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G. N. Singh, Amod Kumar & Gajendra K. Vishwakarma. (2020) Some alternative additive randomized response models for estimation of population mean of quantitative sensitive variable in the presence of scramble variable. Communications in Statistics - Simulation and Computation 49:11, pages 2785-2807.
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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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Garib Nath Singh, Amod Kumar & Gajendra K. Vishwakarma. (2020) Estimation of population mean of sensitive quantitative character using blank cards in randomized device. Communications in Statistics - Simulation and Computation 49:6, pages 1603-1630.
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M. Rueda, B. Cobo & P. F. Perri. (2020) Randomized response estimation in multiple frame surveys. International Journal of Computer Mathematics 97:1-2, pages 189-206.
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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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Iram Saleem, Aamir Sanaullah & Muhammad Hanif. (2019) Double-sampling regression-cum-exponential estimator of the mean of a sensitive variable. Mathematical Population Studies 26:3, pages 163-182.
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Kumari Priyanka & Pidugu Trisandhya. (2019) A composite class of estimators using scrambled response mechanism for sensitive population mean in successive sampling. Communications in Statistics - Theory and Methods 48:4, pages 1009-1032.
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Mausumi Bose & Kajal Dihidar. (2018) Privacy protection measures for randomized response surveys on stigmatizing continuous variables. Journal of Applied Statistics 45:15, pages 2760-2772.
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Alaa Elkadry & Gary C. McDonald. (2018) Analyzing continuous randomized response data with an indifference-zone selection procedure. Communications in Statistics - Theory and Methods 47:14, pages 3508-3522.
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G. N. Singh, S. Suman, M. Khetan & C. Paul. (2018) Some estimation procedures of sensitive character using scrambled response techniques in successive sampling. Communications in Statistics - Theory and Methods 47:8, pages 1830-1841.
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Shakeel Ahmed, Javid Shabbir & Sat Gupta. (2017) Use of scrambled response model in estimating the finite population mean in presence of non response when coefficient of variation is known. Communications in Statistics - Theory and Methods 46:17, pages 8435-8449.
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Fatima Batool, Javid Shabbir & Zawar Hussain. (2017) On the estimation of a sensitive quantitative mean using blank cards. Communications in Statistics - Theory and Methods 46:6, pages 3070-3079.
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Fatima Batool & Javid Shabbir. (2016) A two-stage design for multivariate estimation of proportions. Communications in Statistics - Theory and Methods 45:18, pages 5412-5426.
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Sarjinder Singh, Stephen A. Sedory & Raghunath Arnab. (2015) Estimation of Finite Population Variance Using Scrambled Responses in the Presence of Auxiliary Information. Communications in Statistics - Simulation and Computation 44:4, pages 1050-1065.
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Giancarlo Diana, Saba Riaz & Javid Shabbir. (2014) Hansen and Hurwitz estimator with scrambled response on the second call. Journal of Applied Statistics 41:3, pages 596-611.
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Giancarlo Diana & Pier
Francesco Perri. (2012) A calibration-based approach to sensitive data: a simulation study. Journal of Applied Statistics 39:1, pages 53-65.
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Zhiqiang Pang, Xijuan Niu, Zhaoxu Wang & Jingchen You. Calibration estimator for a sensitive variable using dual auxiliary information under measurement errors. Communications in Statistics - Theory and Methods 0:0, pages 1-18.
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G. N. Singh, D. Bhattacharyya & A. Bandyopadhyay. Non-randomized scrambling models for sensitive quantitative attribute using innocuous characteristics. Journal of Statistical Computation and Simulation 0:0, pages 1-17.
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Articles from other publishers (29)
Housila P. Singh & Neha Garg. (2024) Modified correlated measurement errors model for estimation of population mean utilizing auxiliary information. Scientific Reports 14:1.
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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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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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Erum Zahid, Javid Shabbir & Osama Abdulaziz Alamri. (2022) A generalized class of estimators for sensitive variable in the presence of measurement error and non-response under stratified random sampling. Journal of King Saud University - Science 34:2, pages 101741.
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Fariha Sohil, Muhammad Umair Sohail & Javid Shabbir. (2022) Optimum second call imputation in PPS sampling. PLOS ONE 17:1, pages e0261834.
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Erum Zahid, Javid Shabbir, Sat Gupta, Ronald Onyango & Sadia Saeed. (2022) A generalized class of estimators for sensitive variable in the presence of measurement error and non-response. PLOS ONE 17:1, pages e0261561.
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Housila P. Singh & Preeti Patidar. (2021) An improved scrambled model for estimating the mean of a sensitive character. Model Assisted Statistics and Applications 16:2, pages 87-95.
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María del Mar Rueda, Beatriz Cobo & Antonio Arcos. (2021) Regression Models in Complex Survey Sampling for Sensitive Quantitative Variables. Mathematics 9:6, pages 609.
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Mª Mar Rueda, Beatriz Cobo & Francisca López-Torrecillas. (2019) Measuring Inappropriate Sexual Behavior Among University Students: Using the Randomized Response Technique to Enhance Self-Reporting. Sexual Abuse 32:3, pages 320-334.
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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.
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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.
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Kumari PriyankaPidugu Trisandhya. (2019) MODELLING SENSITIVE ISSUES ON SUCCESSIVE WAVES. Statistics in Transition New Series 20:1, pages 41-65.
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Kumari Priyanka & Pidugu Trisandhya. (2018) Some Classes of Estimators for Sensitive Population Mean on Successive Moves. Journal of Statistical Theory and Practice 13:1.
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Kumari Priyanka, Pidugu Trisandhya & Richa Mittal. (2017) Dealing sensitive characters on successive occasions through a general class of estimators using scrambled response techniques. METRON 76:2, pages 203-230.
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María del Mar García Rueda, Pier Francesco Perri & Beatriz Rodríguez Cobo. (2017) Advances in estimation by the item sum technique using auxiliary information in complex surveys. AStA Advances in Statistical Analysis 102:3, pages 455-478.
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Maria Del Mar Rueda, Beatriz Cobo & Antonio Arcos. (2016) An improved class of estimators in RR surveys. Mathematical Methods in the Applied Sciences 41:6, pages 2307-2318.
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Beatriz Cobo, Mª Mar Rueda & Francisca López ‐Torrecillas. (2016) Application of randomized response techniques for investigating cannabis use by Spanish university students. International Journal of Methods in Psychiatric Research 26:4.
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María del Mar Rueda, Beatriz Cobo & Antonio Arcos. (2015) RRTCS. Applied Psychological Measurement 40:1, pages 78-80.
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O. Odumade, R. Arnab & S. Singh. 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
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Lucio Barabesi, Giancarlo Diana & Pier Francesco Perri. (2014) Gini index estimation in randomized response surveys. AStA Advances in Statistical Analysis 99:1, pages 45-62.
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Lucio Barabesi, Giancarlo Diana & Pier Francesco Perri. (2013) Design-based distribution function estimation for stigmatized populations. Metrika 76:7, pages 919-935.
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Ricky A. James, Tamás Nepusz, Declan P. Naughton & Andrea Petróczi. (2013) A potential inflating effect in estimation models: Cautionary evidence from comparing performance enhancing drug and herbal hormonal supplement use estimates. Psychology of Sport and Exercise 14:1, pages 84-96.
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