New estimation techniques for ordinal sensitive variables

DOI10.1016/J.MATCOM.2020.06.016OpenAlexW3039639726MaRDI QIDQ1998591

Pier Francesco Perri, B. Cobo, Maria del Mar Rueda García

Publication date: 6 March 2021

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/10481/68499

zbMATH Keywords

Monte Carlo simulationrandomized responsecalibrationordinal logistic regression

Mathematics Subject Classification ID

Statistics (62-XX) Statistical sampling theory and related topics (62Dxx)

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Uses Software

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Cites Work

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• Model assisted survey sampling
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Calibration Estimators in Survey Sampling
• A New Discrete Quantitative Randomized Response Model
• Some New Results on the Multinomial Randomized Response Model
• A Model-Calibration Approach to Using Complete Auxiliary Information From Survey Data
• A Generalization of Sampling Without Replacement From a Finite Universe

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