In this paper, a Bayesian hierarchical model is used to anaylze the female breast cancer mortality rates for the State of Missouri from 1969 through 2001. The logit transformations of the mortality rates are assumed to be linear over the time with additive spatial and age effects as intercepts and slopes. Objective priors of the hierarchical model are explored. The Bayesian estimates are quite ...

conclusions it was noted that a relatively high prevalence of growth failure was observed in the study sample. for minimizing the impact of significant risk factors on growth failure, the early detection of growth failure and its risk indicators is of great importance. in addition, when the focus of the analysis is on the different nested sources of variability and the data has a hierarchical s...

Precise identification of the time when a process has changed enables process engineers to search for a potential special cause more effectively. In this paper, we develop change point estimation methods for a Poisson process in a Bayesian framework. We apply Bayesian hierarchical models to formulate the change point where there exists a step < /div> change, a linear trend and a known multip...

Potential violent criminals will often need to go through a sequence of preparatory steps before they can execute their plans. During this escalation process police have the opportunity evaluate threat posed by such people what know, observe and learn from intelligence reports about activities. In paper we customise three-level Bayesian hierarchical model describe process. This is able propagat...