Analysis of Integrated Data: 1st Edition (Hardback) book cover

Analysis of Integrated Data

1st Edition

Edited by Li-Chun Zhang, Raymond L. Chambers

Chapman and Hall/CRC

280 pages | 22 B/W Illus.

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Hardback: 9781498727983
pub: 2019-05-10
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The quality of the integration of multiple data sources is key to ensuring that the data can be properly analyzed. This book presents statistical methods for analyzing integrated data, covering uncertainty due to linkage and matching, target population uncertainty, and survey design and analysis. It brings together some of the leading researchers in the field to present the state of the art in methods and applications. Real examples are included throughout for illustration, with software implementation where possible.

Table of Contents

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

About the Editors

Li-Chun Zhang is Professor of Social Statistics at the University of Southampton, UK, and maintains a part-time position at Statistics Norway.

Ray Chambers is Professor at the University of Wollongong, Australia.

About the Series

Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General