Statistical matching has the objective to estimate a joint distribution of two r.v. (Y,Z) when two sample surveys on (X,Y) and (X,Z) are available, X being a set of common variables in the two surveys. The aim of this paper is to analyze the uncertainty (due to the lack of joint sample information on (Y,Z)) in statistical matching for ordered categorical variables. The notion of uncertainty is first introduced, and a measure of uncertainty is then proposed. Moreover, the reduction of uncertainty in the statistical model due to the introduction of logical constraints is investigated and evaluated via simulation.
Conti, P.L., Marella, D., Scanu, M. (2012). Uncertainty in statistical matching for discrete categorical variables. In Atti della XLVI Riunione Scientifica della Società Italiana di Statistica.. CLEUP – Padova.
Uncertainty in statistical matching for discrete categorical variables
MARELLA, Daniela;
2012-01-01
Abstract
Statistical matching has the objective to estimate a joint distribution of two r.v. (Y,Z) when two sample surveys on (X,Y) and (X,Z) are available, X being a set of common variables in the two surveys. The aim of this paper is to analyze the uncertainty (due to the lack of joint sample information on (Y,Z)) in statistical matching for ordered categorical variables. The notion of uncertainty is first introduced, and a measure of uncertainty is then proposed. Moreover, the reduction of uncertainty in the statistical model due to the introduction of logical constraints is investigated and evaluated via simulation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
