Statistical matching is studied inside a coherent setting, by focusing on the problem of removing inconsistencies. When structural zeros among involved variables are present, incoherencies on the parameter estimations can arise. The aim is to compare different methods to remove such incoherences based on specific pseudo-distances. The comparison is given through an exemplifying example of 100 simulations from a known population with three categorical variables, that carries out to the light peculiarities of the statistical matching problem. © Springer International Publishing Switzerland 2013.
Correction of incoherences in statistical matching / A., Capotorti; Vantaggi, Barbara. - (2013), pp. 73-80. ((Intervento presentato al convegno 8th Biannual Meeting of the Classification and Data Analysis Group, CLADAG 2011 tenutosi a Pavia nel 1 September 2011 through 1 September 2011. - STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION. [10.1007/978-3-319-00032-9-9].
Correction of incoherences in statistical matching
VANTAGGI, Barbara
2013
Abstract
Statistical matching is studied inside a coherent setting, by focusing on the problem of removing inconsistencies. When structural zeros among involved variables are present, incoherencies on the parameter estimations can arise. The aim is to compare different methods to remove such incoherences based on specific pseudo-distances. The comparison is given through an exemplifying example of 100 simulations from a known population with three categorical variables, that carries out to the light peculiarities of the statistical matching problem. © Springer International Publishing Switzerland 2013.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
