A Note on Inference on Multiple Generalized Poisson Populations
James D. Stamey, Tom L. Bratcher, John W. Seaman · American Journal of Mathematical and Management Sciences · 2008
SYNOPTIC ABSTRACTWe consider a fully Bayesian approach to estimation of parameters for generalized Poisson data in a multiple population context. The hierarchical model we consider here extends previous single population models. This hierarchical model has applications in industrial, biological and sociological disciplines. We also extend two recently developed subset selection criteria to the generalized Poisson hierarchical model we propose. The procedures are used to analyze two real data sets. Probabilities are approximated via Markov Chain Monte Carlo.