Dipartimento di Matematica, Informatica ed Economia of Università degli Studi della Basilicata
Abstract
The supermodular order is a well-known tool to compare the intrinsic
degree of dependence between random vectors or multivariate processes. In this note we describe a general framework for the supermodular comparisons of models incorporating individual and common factors. Examples are given on how to apply these models in comparing hitting times for multivariate processes of interest within risk analysis and reliability theory
