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Among the main consequences of the rapid growth of available data proper of the data deluge era, a major one is a significant diversification of primary data sources. This has determined a change of the traditional paradigm of a unique main source of data coming from an ad hoc statistical data collection process, to a multi-source world where data from sources with different characteristics have to combined together. New problems coming from the multi-sources problem, and corresponding methodological challenges, are analyzed.

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Methodological Perspectives in Integration of Data from Multiple Probabilistic and Non-probabilistic Sources

  • 会议论文

  • 发表日期：

    2025年

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  • Pier Luigi Conti

摘要

Among the main consequences of the rapid growth of available data proper of the data deluge era, a major one is a significant diversification of primary data sources. This has determined a change of the traditional paradigm of a unique main source of data coming from an ad hoc statistical data collection process, to a multi-source world where data from sources with different characteristics have to combined together. New problems coming from the multi-sources problem, and corresponding methodological challenges, are analyzed.