Results 21 to 30 of about 10,877,215 (250)
Models for Call Acceptance Based on Handoff Guarantees
Call admission control (CAC) is important for cellular wireless networks to provide quality-of-service (QoS) requirements to users. Static and adaptive CAC schemes, respectively, make unrealistic assumptions about the distributions of the handoff call ...
Rahman Mostafizur, Alfa AttahiruSule
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Noncentral moderate deviations for fractional Skellam processes
The term moderate deviations is often used in the literature to mean a class of large deviation principles that, in some sense, fills the gap between a convergence in probability to zero (governed by a large deviation principle) and a weak convergence to
Jeonghwa Lee, Claudio Macci
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Optimal Layer Reinsurance for Compound Fractional Poisson Model
In this paper, we study the optimal retentions for an insurer with a compound fractional Poisson surplus and a layer reinsurance treaty. Under the criterion of maximizing the adjustment coefficient, the closed form expressions of the optimal results are ...
Jiesong Zhang
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Weak convergence of the complex fractional Brownian motion
In this paper, we obtain two approximations in law of the complex fractional Brownian motion by processes constructed from a Poisson process and a Lévy process, respectively.
Liheng Sang, Guangjun Shen, Qingbo Wang
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Fractional Poisson Process [PDF]
This work concerns the fractional Poisson process and its properties. The aim of this work is to derive some of its properties in detail. The first chapter contains the basics of the theory of random processes, fractional calculus, especially in ...
Jalovcová, Adéla
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Full characterization of the fractional Poisson process [PDF]
The fractional Poisson process (FPP) is a counting process with independent and identically distributed inter-event times following the Mittag-Leffler distribution.
Enrico Scalas +14 more
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Each charging/discharging cycle leads to a gradual decrease in the battery’s capacity. The degradation of capacity in lithium-ion batteries represents a non-monotonous process with random jumps.
Jing Shi +4 more
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The Fractional Differential Polynomial Neural Network for Approximation of Functions
In this work, we introduce a generalization of the differential polynomial neural network utilizing fractional calculus. Fractional calculus is taken in the sense of the Caputo differential operator.
Rabha W. Ibrahim
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Some results on Bayes estimation under Linex loss function [PDF]
In this paper, we introduced straightforward formulas for the Bayes risk linked to the Linex loss function, which we then applied to estimate parameters of the normal, Poisson, and fractional Weibull distributions.We aimed to investigate the development ...
Masoud Ganji, Fatemeh Gharari
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Generalized Counting Processes in a Stochastic Environment
This paper addresses the generalization of counting processes through the age formalism of Lévy Walks. Simple counting processes are introduced and their properties are analyzed: Poisson processes or fractional Poisson processes can be recovered as ...
Davide Cocco, Massimiliano Giona
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