A proposal for setting-up vulnerability indicators in the presence of missing data - Pier Alda Ferrari, Paola Annoni, Sergio Urbisci - Vita e Pensiero - Articolo Statistica & Applicazioni

A proposal for setting-up vulnerability indicators in the presence of missing data

digital A proposal for setting-up vulnerability indicators in the presence of missing data
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2006 - 1
title A proposal for setting-up vulnerability indicators in the presence of missing data
Authors

Publisher Vita e Pensiero
format Article | Pdf
language English
issn 1824-6672 (print) | 2283-6659 (digital)
Write a comment for this product
Download

Ebook format Pdf readable on these devices:

A procedure for the construction of an indicator in the presence of structured missing data is proposed. In particular, we face the problem of creating a ‘measure’ of the damage degree of valuable historical-architectonical buildings on the basis of the observation of several ordinal variables. Our proposal is the jointly use of Nonlinear PCA and an imputation method for missing data treatment.
The adopted procedure can be generally applied when an indicator is needed on the basis of the observation of ordinal, but also nominal or numerical, variables, which are deeply interrelated and are affected by systematic missing data. It has the nice feature of treating missing data according to the relevance of variables affected by missing observations and, at the same time, it preserves all the properties of Nonlinear PCA without missing data.
Furthermore, the method provides category quantifications and variable loadings that could be used for future inventory of buildings (in general of ‘units’) not included in the initial survey.

Authors biography

Pier Alda Ferrari, Dipartimento di Scienze Economiche, Aziendali e Statistiche – Università degli Studi di Milano – via Conservatorio, 7, 20122 MILANO (e-mail: pieralda.ferrari@unimi.it).
Paola Annoni, Dipartimento di Scienze Economiche, Aziendali e Statistiche – Università degli Studi di Milano – via Conservatorio, 7, 20122 MILANO (paola.annoni@unimi.it).
Sergio Urbisci, Regione Lombardia, D.G. Culture, identità e autonomie – via Pola 12/14, 20124 MILANO (e-mail: urbiscis@regione.lombardia.it).

This site or third-party tools used by this make use of cookies necessary for the operation and useful for the purposes outlined in the cookie policy.
If you want to learn more or opt out of all or some cookies, see the cookie policy.
By closing this warning, browsing this page, clicking on a link or continuing to browse otherwise, you consent to the use of cookies.

I Agree