Multi-stage cluster sampling is a common sampling design of social surveys because populations of interest are often … structured by, or partitioned into, disjoint organizational and administrative units. The need to use cluster sampling can … interest. This can be a complex problem if sampling units, i.e. clusters, cut across the domains of interest, as it is often …

This paper develops a systematic Markov Chain Monte Carlo (MCMC) framework based upon Efficient Importance Sampling … solution. EIS is a simple, generic and yet accurate Monte-Carlo integration procedure based on sampling densities which are … MCMC components such as auxiliary sampling densities, normalizing constants and starting values. The potential of this …