A Parametric Uncertainty Analysis Method for Markov Reliability and Reward Models


A common concern with Markov reliability and reward models is that model parameters, i.e., component failure and repair rates, are seldom perfectly known. This paper proposes a numerical method based on the Taylor series expansion of the underlying Markov chain stationary distribution (associated to the reliability and reward models) to propagate parametric… (More)
DOI: 10.1109/TR.2012.2208299

11 Figures and Tables


  • Presentations referencing similar topics