A Class of Logarithmic Type Estimator Under Non-Response and Measurement Error Using ORRT Models
Author:
Publisher
Springer Science and Business Media LLC
Subject
Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s41096-023-00156-7.pdf
Reference29 articles.
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2. Ahmed S, Shabbir J, Gupta S (2017) Use of scrambled response model in estimating the finite population mean in presence of non response when coefficient of variation is known. Commun Stat-Theory Methods 46(17):8435–8449
3. Diana G, Perri PF (2011) A class of estimators for quantitative sensitive data, statistical papers. Stat Pap 52(3):633–650
4. Diana G, Riaz S, Shabbir J (2014) Hansen and Hurwitz estimator with scrambled response on the second call. J Appl Stat 41(3):596–611
5. Eichhorn BH, Hayre LS (1983) Scrambled randomized response methods for obtaining sensitive quantitative data. J Stat Plan Inference 7(4):307–316
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1. An Improved Class of Ratio and Product Estimators Based on ORRT Models;Revista Colombiana de Estadística;2024-01-15
2. Quantify the Impact of Non-Response and Measurement Error of Sensitive Variable(s) under Two-Phase Sampling employing ORRT Models;Communications in Advanced Mathematical Sciences;2023-12-25
3. Applying ORRT for the estimation of population variance of sensitive variable;Communications in Statistics - Simulation and Computation;2023-12-20
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