A method of correction for heaping error in the variables using validation data

DOI10.1007/s00362-023-01405-4MaRDI QIDQ6549158

Hamid Y. Hussain, Fred N. Kiwanuka, Mohammed Hag-Ali, Amar Sabri Ahmad, Nirmin F. Juber, Munther Al-Hassan, Raghib Ali

Publication date: 3 June 2024

Published in: Statistical Papers (Search for Journal in Brave)

zbMATH Keywords

biasmeasurement errorself-reported dataheaping error

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Unnamed Item
• Regression modeling strategies. With applications to linear models, logistic regression, and survival analysis
• Sex, lies and self-reported counts: Bayesian mixture models for heaping in longitudinal count data via birth-death processes
• Heaping and its consequences for duration analysis: a simulation study
• Symmetric and asymmetric rounding: a review and some new results
• A bias analysis of Weibull models under heaped data
• Truth and memory: linking instantaneous and retrospective self-reported cigarette consumption
• A statistical approach to address the problem of heaping in self-reported income data
• Modelling trends in digit preference patterns

Related Items (1)

A note on rounding error in the variables: understanding its influence on statistical estimators

This page was built for publication: A method of correction for heaping error in the variables using validation data