We consider the Bayesian analysis of constrained parameter and truncated data problems within a Gibbs sampling framework and concentrate on sampling truncated densities that arise as full conditional ...

We describe a new sequential sampling method for constrained multi-way tables, with foundations in linear programming and sequential normal sampling. The method builds on techniques from other ...

Overview: This course provides the attendees with the tools needed to understand and implement acceptance sampling. We explain the basis for sampling plans, the binomial distribution, and show how it ...