Logistic regression analysis of non‐randomized response data collected by the parallel model in sensitive surveys

DOI10.1111/ANZS.12258OpenAlexW2953592728WikidataQ127738595 ScholiaQ127738595MaRDI QIDQ5229964

Yin Liu, Man-Lai Tang, Guo-Liang Tian

Publication date: 19 August 2019

Published in: Australian & New Zealand Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/anzs.12258

zbMATH Keywords

Newton-Raphson algorithmodds rationon-randomized parallel modelquadratic lower bound algorithm

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Sampling theory, sample surveys (62D05) Nonparametric tolerance and confidence regions (62G15) Nonparametric statistical resampling methods (62G09)

Related Items (1)

A new variant of the parallel regression model with variable selection in surveys with sensitive attribute

Cites Work

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• Logistic regression analysis of randomized response data with missing covariates
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias

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