Markov analysisassesses dynamic system behavior. A Markov diagram, which is also known as a state transition diagram, represents the system as a set of random variables and their interdependencies. Markov diagrams are useful for modeling the behavior of a system when there are common cause failures, imperfect coverage, complex repair policies, degradation, shock effects, induced failures, dependent failures, and other sequence-dependent events. Because other reliability techniques assume that the configuration of the system is both simple and static, they cannot be used to analyze dependent random events. For more information, see Windchill Markov.