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035   $a(CaSebORM)9781118563014
035   $a(OCoLC)827947129
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100   $a20111017d2012      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aStochastic modeling and analysis of telecom networks$b[electronic resource] /$fLaurent Decreusefond, Pascal Moyal ; series editor, Nikolaos Limnios
205   $a1st edition
210   $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2012
215   $a1 online resource (399 p.)
225 1 $aISTE
300   $aDescription based upon print version of record.
311   $a1-84821-238-0 
320   $aIncludes bibliographical references and index.
327   $apt. 1. Discrete-time modeling -- pt. 2. Continuous-time modeling -- pt. 3. Spatial modeling.
330   $a This book addresses the stochastic modeling of telecommunication networks, introducing the main mathematical tools for that purpose, such as Markov processes, real and spatial point processes and stochastic recursions, and presenting a wide list of results on stability, performances and comparison of systems.The authors propose a comprehensive mathematical construction of the foundations of stochastic network theory: Markov chains, continuous time Markov chains are extensively studied using an original martingale-based approach. A complete presentation of stochastic recursions from an
410  0$aISTE
606   $aMobile communication systems
606   $aSystem analysis$xMathematical models
615  0$aMobile communication systems.
615  0$aSystem analysis$xMathematical models.
676   $a621.38456
676   $a621.38456051922
700   $aDecreusefond$b Laurent$f1966-$01249991
701   $aMoyal$b Pascal$f1978-$01729042
701   $aLimnios$b N$g(Nikolaos)$0900137
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910840908803321
996   $aStochastic modeling and analysis of telecom networks$94138602
997   $aUNINA