Bayesian approach to errors-in-variables in count data regression models with departures from normality and overdispersion

• Main Authors: Rozliman, Nur Aainaa, Ibrahim, Adriana Irawati Nur, Yunus, Rossita Muhamad
• Format: Article
• Published: Taylor & Francis 2018
• Subjects: Q Science (General); QA Mathematics
• Online Access: http://eprints.um.edu.my/20861/; https://doi.org/10.1080/00949655.2017.1381845
• Institution: Universiti Malaya

In most practical applications, the quality of count data is often compromised due to errors-in-variables (EIVs). In this paper, we apply Bayesian approach to reduce bias in estimating the parameters of count data regression models that have mismeasured independent variables. Furthermore, the exposu...