How to quantify the uncertain information in the framework of Dempster-Shafer evidence
theory is still an open issue. Quite a few uncertainty measures have been proposed in …

The goal of statistical matching is the estimation of a joint distribution having observed only
samples from its marginals. The lack of joint observations on the variables of interest is the …

In the era of data revolution, availability and presence of data is a huge wealth that has to be
utilized. Instead of making new surveys, benefit can be made from data that already exists …

Among the goals of statistical matching, a very important one is the estimation of the joint
distribution of variables not jointly observed in a sample survey but separately available from …

The potential to study and improve different aspects of our lives is ever growing thanks to the
abundance of data available in today's modern society. Scientists and researchers often …

Statistical matching is progressively emerging as a straightforward approach to data
integration. This method of increasing importance and interest is useful to address the …

Data for statistical analysis is often available from different samples, with each sample
containing measurements on only some of the variables of interest. Statistical matching …

Statistical matching aims at combining information available in distinct sample surveys
referred to the same target population. The matching is usually based on a set of common …

This chapter argues that an appropriate selection of the matching variables can be found
through the notion of uncertainty that is to select those variables that minimize the …

Researchers and policymakers seek a better understanding of the social demand for agri-
environmental public goods (PGs), that, being nonmarket goods, are usually valuated by …