On consistency of estimators based on random set vector observations

Abstract

In this paper, the characterization of the joint distribution of random set vector by the belief function is investigated. A routine of calculating the bivariate coarsening at random model of finite random sets is obtained. In the context of reliable computations with imprecise data, we show that the maximum likelihood estimators of parameters in CAR model are consistent. Several examples are given to illustrate our results.