For stochastic processes, lack-of-memory is synonymous with the Markov property. For a positive random variable T that models the duration of some phenomenon, lack-of-memory means that the time remaining is independent of the time already passed, that is, Pr{T > t + s|T > s} = Pr{T > t} for s, t > 0. The exponential distribution is the only continuous distribution with lack-of-memory, while the geometric distribution is the only discrete distribution with lack-of-memory. Exponential arrivals; Markov processes; Markov property.
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© 2001 Kluwer Academic Publishers
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Gass, S.I., Harris, C.M. (2001). Memoryless property . In: Gass, S.I., Harris, C.M. (eds) Encyclopedia of Operations Research and Management Science. Springer, New York, NY. https://doi.org/10.1007/1-4020-0611-X_610
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DOI: https://doi.org/10.1007/1-4020-0611-X_610
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