1st Edition

Analysis of Integrated Data

Edited By Li-Chun Zhang, Raymond L. Chambers Copyright 2019
272 Pages 22 B/W Illustrations
by Chapman & Hall

272 Pages 22 B/W Illustrations
by Chapman & Hall

270 Pages 22 B/W Illustrations
by Chapman & Hall

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... Read more

Introduction - Ray Chambers

On secondary analysis of datasets that cannot be linked without errors - Li-Chun Zhang

Capture-recapture methods in the presence of linkage errors - Loredana di Congsiglio, Tiziana Tuoto, Li-Chun Zhang

An overview on uncertainty and estimation in statistical matching - Maruo Scanu, Pier Luigi Conti, Daniela Marella

Auxiliary variable selection in a statistical matching problem - Marcello D'Orazio, Marco Di Zio, Mauro Scanu

Minimal inference from incomplete 2 x 2-tables - Li-Chun Zhang, Raymond L. Chambers

Dual and multiple system estimation with fully and partially observed covariates - Van der Heijden et al.

Estimating population size in multiple record systems with uncertainty of state identification - Davide Di Cecco

Log-linear models of erroneous list data - Li-Chun Zhang

Sampling design and analysis using geo-referenced data - Danila Filipponi, Federica Piersimoni, Roberto Benedetti, Maria Michela Dickson, Giuseppe Espa, Diego Giuliani

 

Biography

Li-Chun Zhang is Professor in Social Statistics at the University of Southampton, UK, Senior Researcher at Statistics Norway, Norway, and Professor in Official Statistics at the University of Oslo, Norway.



Raymond Chambers is Professor of Statistical Methodology at the University of Wollongong, Australia.