Simulation-based Bayesian inferences for two-variance components linear models

✍ Scribed by P. Vounatsou; A.F.M. Smith

• Publisher: Elsevier Science
• Year: 1997
• Tongue: English
• Weight: 902 KB
• Volume: 59
• Category: Article
• ISSN: 0378-3758
• DOI: 10.1016/s0378-3758(96)00093-6

✦ Synopsis

We present a Bayesian analysis of variance component models via simulation. In particular, we study the 2-component hierarchical design model under balanced and unbalanced experiments. Also, we consider 2-factor additive random effect models and mixed models in a cross-classified design. We assess the sensitivity of inference to the choice of prior by a sampling/resampling technique. Finally, attention is given to non-normal error distributions such as the heavy-tailed t distribution.