Estimating the linear regression model with categorical covariates subject to randomized response

DOI10.1016/J.CSDA.2005.06.008zbMath1445.62178OpenAlexW1979443862MaRDI QIDQ959412

Peter Kooiman, Ardo van den Hout

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.06.008

zbMATH Keywords

EM algorithmrandomized responselinear regression modelmisclassificationstatistical disclosure controlpost randomization method

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Linear regression; mixed models (62J05) Point estimation (62F10)

Related Items (1)

On Invariant Post‐randomization for Statistical Disclosure Control

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayesian approximations in randomized response model
• Elements of statistical disclosure control
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Inadmissibility of Linearly Invariant Estimators in Truncated Parameter Spaces
• Inference and missing data
• Randomized Response, Statistical Disclosure Control and Misclassificatio: a Review

This page was built for publication: Estimating the linear regression model with categorical covariates subject to randomized response