multilevel model, with both frequentist and Bayesian approaches. Findings The findings of this paper indicate consistent support …

. For implementation the Bayesian and likelihood procedures would perhaps require the same numerical computations, while the … Bayesian literature, with many variations and some preference for two versions labelled pppost and pcpred. The bootstrap method … also directly addresses this Studentization process. We use recent likelihood theory that gives a third order factorization …

This article shows how to construct a likelihood for a general class of censoring problems. This likelihood is proven … normally distributed under regularity conditions. The method generalises ordinary maximum likelihood estimation as well as …

for the structural parameter vector based on the frequency domain approximation to the Gaussian likelihood. The …

, based on their historical data. We first use the Akaike information criterion (AIC) and Bayesian information criterion (BIC …