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 …

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

Statistical matching techniques aim at integrating two or more data sources (usually data
from sample surveys) referred to the same target population. In the basic statistical matching …

Statistical matching methods permit to integrate two or more data sources with the purpose
of investigating the relationship between variables not jointly observed. Recently these …

A cloud's elasticity which makes it attractive is limited to its physical resources. As a measure
to prevent this limitation from being a hindrance to the attraction, the cloud inter-operates …

Data integration is becoming a crucial task in National Statistical Institutes in order to exploit
the information provided by already existing data sources. Here the focus is on statistical …

Abstract Big Data and the 'Internet of Things' are transforming the processes of data
collection, storage and use. The relationship between data collected first hand (primary …

Statistical matching is the term for the integration of two or more data files that share a
partially overlapping set of variables. Its aim is to obtain joint information on variables …

The production of statistics on the joint distribution of income, consumption and wealth at the
micro level is an up-to-date priority of the National Statistical Institutes as well as a key …