Analysis of Integrated Data

ISBN-13: 9781032092782 / Angielski / Miękka / 2021 / 272 str.

Li-Chun Zhang; Raymond L. Chambers

Opis

Analysis of Integrated Data aims to provide a solid theoretical basis for this statistical analysis in three generic settings of entity ambiguity.

Spis treści

1. Introduction - Ray Chambers 2. On secondary analysis of datasets that cannot be linked without errors - Li-Chun Zhang 3. Capture-recapture methods in the presence of linkage errors - Loredana di Congsiglio, Tiziana Tuoto, Li-Chun Zhang 4. An overview on uncertainty and estimation in statistical matching - Maruo Scanu, Pier Luigi Conti, Daniela Marella 5. Auxiliary variable selection in a statistical matching problem - Marcello D'Orazio, Marco Di Zio, Mauro Scanu 6. Minimal inference from incomplete 2 x 2-tables - Li-Chun Zhang, Raymond L. Chambers 7. Dual and multiple system estimation with fully and partially observed covariates - Van der Heijden et al.  8. Estimating population size in multiple record systems with uncertainty of state identification - Davide Di Cecco 9. Log-linear models of erroneous list data - Li-Chun Zhang 10. Sampling design and analysis using geo-referenced data - Danila Filipponi, Federica Piersimoni, Roberto Benedetti, Maria Michela Dickson, Giuseppe Espa, Diego Giuliani

O autorze

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.