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Analysis of Integrated Data (Paperback)
Loot Price: R1,609
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Analysis of Integrated Data (Paperback)
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Expected to ship within 12 - 17 working days
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The advent of "Big Data" has brought with it a rapid
diversification of data sources, requiring analysis that accounts
for the fact that these data have often been generated and recorded
for different reasons. Data integration involves combining data
residing in different sources to enable statistical inference, or
to generate new statistical data for purposes that cannot be served
by each source on its own. This can yield significant gains for
scientific as well as commercial investigations. However, valid
analysis of such data should allow for the additional uncertainty
due to entity ambiguity, whenever it is not possible to state with
certainty that the integrated source is the target population of
interest. Analysis of Integrated Data aims to provide a solid
theoretical basis for this statistical analysis in three generic
settings of entity ambiguity: statistical analysis of linked
datasets that may contain linkage errors; datasets created by a
data fusion process, where joint statistical information is
simulated using the information in marginal data from
non-overlapping sources; and estimation of target population size
when target units are either partially or erroneously covered in
each source. Covers a range of topics under an overarching
perspective of data integration. Focuses on statistical uncertainty
and inference issues arising from entity ambiguity. Features state
of the art methods for analysis of integrated data. Identifies the
important themes that will define future research and teaching in
the statistical analysis of integrated data. Analysis of Integrated
Data is aimed primarily at researchers and methodologists
interested in statistical methods for data from multiple sources,
with a focus on data analysts in the social sciences, and in the
public and private sectors.
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