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Probability in the Engineering and Informational Sciences is a peer-reviewed journal published by Cambridge University Press, covering Advanced Queuing Theory Analysis, Probability and Risk Models, Statistical Distribution Estimation and Applications.
| Publisher | Cambridge University Press |
|---|---|
| Reference style | Numbered Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, A representative article title, Probability in the Engineering and Informational Sciences 12 (2023) 45–58.
Formats any DOI in the closest standard style — Probability in the Engineering and Informational Sciences has no published style definition, so this is an approximation. No sign-up. |
| Publishes research in | Advanced Queuing Theory Analysis Probability and Risk Models Statistical Distribution Estimation and Applications Reliability and Maintenance Optimization Superconducting Materials and Applications |
| ISSN | 0269-9648 |
| Citation impact (2-yr) | 1.15 |
| h-index | 61 |
| i10-index | 542 |
| Total citations | 19,975 |
| Top institutions publishing here | University of California, Berkeley |
| Journal website | journals.cambridge.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
We propose an analytically tractable model of loading-dependent cascading failure that captures some of the salient features of large blackouts of electric power transmission systems. This leads to a new application and derivation of the quasibinomial distribution and its generalization to a saturating form with an extended parameter range. The saturating quasibinomial distribution of the…
We consider the following queuing system which arises as a model of a wireless link shared by multiple users. There is a finite number N of input flows served by a server. The system operates in discrete time t = 0,1,2,…. Each input flow can be described as an irreducible countable Markov chain; waiting customers…
In this paper we discuss some properties of the reversed hazard rate function. This function has been shown to be useful in the analysis of data in the presence of left censored observations. It is also natural in discussing lifetimes with reversed time scale. In fact, ordinary hazard rate functions are most useful for lifetimes,…
Numerical inversion of Laplace transforms is a powerful tool in computational probability. It greatly enhances the applicability of stochastic models in many fields. In this article we present a simple Laplace transform inversion algorithm that can compute the desired function values for a much larger class of Laplace transforms than the ones that can be…
We consider queueing networks containing customers and signals that were recently introduced in Gelenbe [4]. Both customers and signals can be exogenous or can be obtained by a Markovian transition of a customer after service. A signal entering a queue forces a customer to move on to another queue according to a Markovian routing rule…
