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pro vyhledávání: '"Kernane, Tewfik"'
Publikováno v:
In Applied Mathematical Modelling June 2022 106:448-462
Autor:
Kernane, Tewfik
We consider a single server retrial queue with the server subject to interruptions and classical retrial policy for the access from the orbit to the server. We analyze the equilibrium distribution of the system and obtain the generating functions of
Externí odkaz:
http://arxiv.org/abs/0902.2110
Autor:
Kernane, Tewfik, Raizah, Zohrh A.
Maximum likelihood estimations for the parameters of extreme value distributions are discussed in this paper using fixed point iteration. The commonly used numerical approach for addressing this problem is the Newton-Raphson approach which requires d
Externí odkaz:
http://arxiv.org/abs/0902.0117
Autor:
Guellil, Ahmed, Kernane, Tewfik
We introduce a new distance and we use it to parameter estimation purposes. We observe how it operates and we use in its place the usual methods of estimation which we call the methods of the new approach. We realize that we obtain a discretization o
Externí odkaz:
http://arxiv.org/abs/0812.1124
Autor:
Guellil, Ahmed, Kernane, Tewfik
We propose a new approach for estimating the parameters of a probability distribution. It consists on combining two new methods of estimation. The first is based on the definition of a new distance measuring the difference between variations of two d
Externí odkaz:
http://arxiv.org/abs/0802.2155
Autor:
Kernane, Tewfik
Publikováno v:
Statistics & Probability Letters (2008) STAPRO: 5118
We study the stability of single server retrial queues under general distribution for retrial times and stationary ergodic service times, for three main retrial policies studied in the literature: classical linear, constant and control policies. The
Externí odkaz:
http://arxiv.org/abs/0802.1812
Autor:
Beldjoudi, Chouaib1 (AUTHOR), Kernane, Tewfik1 (AUTHOR) tkernane@usthb.dz, El Maroufy, Hamid2 (AUTHOR)
Publikováno v:
Mathematical Population Studies. Oct2020, Vol. 27 Issue 4, p232-258. 27p.
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Akademický článek
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Inference for epidemic parameters can be challenging, in part due to data that are intrinsically stochastic and tend to be observed by means of discrete-time sampling, which are limited in their completeness. The problem is particularly acute when th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::a64b22b456c1ad10b5a7705fa0cf9045
https://hal.archives-ouvertes.fr/hal-01094854/document
https://hal.archives-ouvertes.fr/hal-01094854/document