ABSTRACT
Phase-type distributions have gained widespread attention in the area of stochastic mo delling, two primary reasons being their algorithmic tractability and denseness. Although various methods for selecting the parameters of phase-type distributions have been dis cussed in the literature, the relative merits and weaknesses of the proposed parameter approximation methods have not been thoroughly studied .
