Applying the nonrandomized diagonal model to estimate a sensitive distribution in complex sample surveys

DOI10.1080/15598608.2013.793630zbMath1423.62003OpenAlexW1997539829MaRDI QIDQ2320907

Heiko Groenitz

Publication date: 27 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/15598608.2013.793630

zbMATH Keywords

clusterquadratic programmingrandomized responseuntruthful answersanswer refusalbootstrap variance estimatesdegree of privacy protectiondiagonal model (DM) survey techniqueinadmissible estimates for multinomial proportions in complex sampling

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Sampling theory, sample surveys (62D05) Quadratic programming (90C20)

Related Items (2)

Risk-optimal estimators for survey procedures with certain indirect questions ⋮ A covariate nonrandomized response model for multicategorical sensitive variables

Cites Work

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• A new non-randomized multi-category response model for surveys with a single sensitive question: design and analysis
• Resampling Inference With Complex Survey Data
• Comparing three bootstrap methods for survey data

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