Model-assisted approaches to complex survey sampling from finite populations using Bayesian networks: a tool for integration of different sources

A class of estimators based on the dependency structure of a multivariate variable of interest and the survey design is defined. It will be shown by a MonteCarlo simulation how the adoption of the estimator corresponding to the population structure is more efficient than the others.