Limitations of Homogeneous Markov Models
Homogeneous Markov models are limited by two major assumptions:
The transitions (probabilities) of changing from one state to another are assumed to remain constant. Thus, a Markov model is used only when a constant failure rate and repair rate assumption is justified.
The transition probabilities are determined only by the present state and not by the system’s history. This means future states of the system are assumed to be independent of all but the current state of the system.