Stability of various systems’ characteristics with respect to changes in initial states or external factors are the key problems in all natural sciences. For stochastic systems stability often means insensitivity or low sensitivity of their output characteristics subject to changes in the shapes of some input distributions. In Kozyev et al.(2018) the reliability function for a two-components standby renewable system operating under the Marshall-Olkin failure model has been found and its asymptotic insensitivity to the shapes of its component times’ distributions has been proved. In the recent paper the problem of asymptotic insensitivity of stationary and quasi-stationary probabilities for the same model are considered.
CITATION STYLE
Rykov, V., & Dimitrov, B. (2019). Renewal Redundant Systems Under the Marshall-Olkin Failure Model. Sensitivity Analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11965 LNCS, pp. 234–248). Springer. https://doi.org/10.1007/978-3-030-36614-8_18
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