The aim is to analyze the uncertainty in statistical matching for ordered categorical variables. Uncertainty in statistical matching consists in estimating a joint distribution by observing only samples from its marginals. Unless very restrictive conditions are met, observeddatadonotidentifythejointdistributiontobeestimated,andthisisthereason of uncertainty. The notion of uncertainty is first formally 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.
|Titolo:||Uncertainty Analysis for statistical matching of ordered categorical variables|
|Data di pubblicazione:||2013|
|Citazione:||Conti P.L., Marella D, & Scanu M. (2013). Uncertainty Analysis for statistical matching of ordered categorical variables. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 68, 311-325.|
|Appare nelle tipologie:||1.1 Articolo in rivista|