The microdata of surveys are valuable resources for analyzing and modeling relationships between variables of interest. These microdata are often incomplete because of nonresponses in surveys and, if not considered, may lead to model misspecification and biased results. Nonresponse variable is...

In this paper, the claim counts and amounts without and with missing values are assumed to be correlated in non-life insurance. The approach consists of fitting joint random effects partially models to the factorization of the joint distribution of the claim counts and the average claim amount....

In this paper, we discuss Bayesian inference of unobserved heterogeneity for unemployment duration data in the presence of right and interval-censoring, and non-proportionality. We employ accelerated failure time models with three different distributional assumptions: log-logistic, log-normal,...