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Stella Kapodistria

Researcher at Eindhoven University of Technology

Publications -  40
Citations -  483

Stella Kapodistria is an academic researcher from Eindhoven University of Technology. The author has contributed to research in topics: Queue & Random walk. The author has an hindex of 12, co-authored 37 publications receiving 409 citations. Previous affiliations of Stella Kapodistria include National and Kapodistrian University of Athens & University of the Aegean.

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Linear birth/immigration-death process with binomial catastrophes

TL;DR: In this article, the authors studied a birth/immigration-death process under mild (binomial) catastrophes and obtained explicit expressions for both the time-dependent (transient) and the limiting (equilibrium) factorial moments, which are then used to construct the transient and equilibrium distribution of the population size.
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Synchronized reneging in queueing systems with vacations

TL;DR: In this paper, the authors present a detailed analysis of queueing models with vacations and impatient customers, where the source of impatience is the absence of the server, instead of the standard assumption that customers perform independent abandonments, they consider situations where customers abandon the system simultaneously.
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The M/M/1 queue with synchronized abandonments

TL;DR: This paper considers situations where customers abandon the system simultaneously and distinguishes two abandonment scenarios; in the first one all present customers become impatient and perform synchronized abandonments, while in the second scenario the customer in service is excluded from the abandonment procedure.
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Synchronized abandonments in a single server unreliable queue

TL;DR: This work analyzes a single server unreliable queue represented by a 2-dimensional continuous-time Markov chain and derives the main performance measures using results from the basic q-hypergeometric series.
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Some extensions of the residual lifetime and its connection to the cumulative residual entropy

TL;DR: In this paper, a sequence of random variables with weighted tail distribution functions, constructed based on the relevation transform, is presented, and several recursive formulas and connections to the residual entropy through the unifying framework of the Dickson-Hipp operator.