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Assessment of Rapid Antigen Diagnostic Tests at Mass Events: Identifying Optimal Floor Plan Configurations for Enhanced Efficiency. [PDF]
Khan AA, Turki AF.
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Quantum-secured routing in drone communication for 6G-enabled smart mobility. [PDF]
Hafeez S +5 more
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Birth and death processes in phylogenetics and population genetics. [PDF]
Tavaré S.
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Unreliable M [X]/G(P1,P2)/1 feedback retrial queues with combined working vacation. [PDF]
S B, M C S.
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Seasonally migratory songbirds have different historic population size characteristics than resident relatives. [PDF]
Winker K, Delmore K.
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Counter-examples involving markovian arrival processes
Stochastic Models, 1991Summary: By considering simple two-state Markovian arrival processes, a number of examples are given which show the limitations of the information conveyed by the distributions of the counting random variables. Some of these are intended to lay some conjectures on point processes to rest, while others have primarily didactic value.
Liu, Dan, Neuts, Marcel F.
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On the Time Reversal of Markovian Arrival Processes
Stochastic Models, 2004Abstract We study the point process obtained by reversing time in a stationary Markovian Arrival Process (MAP). That process is also a MAP. We show that the most frequently used classical statistical descriptors of point processes are insensitive to the orientation of the time-axis. Therefore they fail to distinguish between a MAP and its reverse. That
Bo Friis Nielsen
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Multi-class Markovian arrival processes and their parameter fitting
Performance Evaluation, 2010Markovian arrival processes are a powerful class of stochastic processes to represent stochastic workloads that include autocorrelation in performance or dependability modeling. However, fitting the parameters of a Markovian arrival process to given measurement data is non-trivial and most known methods focus on a single class case, where all events ...
Peter Buchholz +2 more
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