An important feature of statistical matching is that the underlying joint distribution of the variables of interest is not identifiable. This produces a form on “uncertainty” on the statistical model. A measure to evaluate such an uncertainty is proposed. The effect of prior information in the form of constraints is exploited. Finally, the estimation of the proposed measure of uncertainty is studied.
Measuring uncertainty in statistical matching / Conti, Pier Luigi; Marella, Daniela. - ELETTRONICO. - (2011), pp. 1-6. ((Intervento presentato al convegno 8th Scientific Meeting of the CLAssification an d Data Analysis Group (CLADAG) of the I talian Statistical Society - CLADAG 2011 tenutosi a Pavia nel 7 settembre - 9 settembre 2011.
Measuring uncertainty in statistical matching
Pier Luigi ContiMethodology
;Daniela MarellaMethodology
2011
Abstract
An important feature of statistical matching is that the underlying joint distribution of the variables of interest is not identifiable. This produces a form on “uncertainty” on the statistical model. A measure to evaluate such an uncertainty is proposed. The effect of prior information in the form of constraints is exploited. Finally, the estimation of the proposed measure of uncertainty is studied.| File | Dimensione | Formato | |
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