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Titlebook: Input Modeling with Phase-Type Distributions and Markov Models; Theory and Applicati Peter Buchholz,Jan Kriege,Iryna Felko Book 2014 Peter

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發(fā)表于 2025-3-21 19:44:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Input Modeling with Phase-Type Distributions and Markov Models
副標(biāo)題Theory and Applicati
編輯Peter Buchholz,Jan Kriege,Iryna Felko
視頻videohttp://file.papertrans.cn/468/467649/467649.mp4
概述Contains an overview of available open source software tools for parameter fitting of PH distributions and MAPs.Presents a large number of algorithms to fit the parameters of PH distributions or MAPs
叢書名稱SpringerBriefs in Mathematics
圖書封面Titlebook: Input Modeling with Phase-Type Distributions and Markov Models; Theory and Applicati Peter Buchholz,Jan Kriege,Iryna Felko Book 2014 Peter
描述.Containing a summary of several recent results on Markov-based input modeling in a coherent notation, this book introduces and compares algorithms for parameter fitting and gives an overview of available software tools in the area. Due to progress made in recent years with respect to new algorithms to generate PH distributions and Markovian arrival processes from measured data, the models outlined are useful alternatives to other distributions or stochastic processes used for input modeling. Graduate students and researchers in applied probability, operations research and computer science along with practitioners using simulation or analytical models for performance analysis and capacity planning will find the unified notation and up-to-date results presented useful. Input modeling is the key step in model based system analysis to adequately describe the load of a system using stochastic models. .The goal of input modeling is to find a stochastic model to describe a sequence of?measurements from a real system to model for example the inter-arrival times of packets in a computer network or failure times of components in a manufacturing plant. Typical application areas are performan
出版日期Book 2014
關(guān)鍵詞Input modeling; Markov models; Markovian arrival processes; phase type distributions; stochastic simulat
版次1
doihttps://doi.org/10.1007/978-3-319-06674-5
isbn_softcover978-3-319-06673-8
isbn_ebook978-3-319-06674-5Series ISSN 2191-8198 Series E-ISSN 2191-8201
issn_series 2191-8198
copyrightPeter Buchholz, Jan Kriege, Iryna Felko 2014
The information of publication is updating

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Peter Buchholz,Jan Kriege,Iryna Felkokonomischer Outcome) medizinischer Technologien und Therapieverfahren, um Behandlungsalternativen für ausgesuchte Krankheitsbilder vergleichen zu k?nnen [1, 4, 7, 8]. Gesetzliche Vorgaben und begrenzte finanzielle Ressourcen im Gesundheitswesen zwingen zum effizienten Einsatz der Mittel, um die Rela
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Peter Buchholz,Jan Kriege,Iryna Felkokonomischer Outcome) medizinischer Technologien und Therapieverfahren, um Behandlungsalternativen für ausgesuchte Krankheitsbilder vergleichen zu k?nnen [1, 4, 7, 8]. Gesetzliche Vorgaben und begrenzte finanzielle Ressourcen im Gesundheitswesen zwingen zum effizienten Einsatz der Mittel, um die Rela
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Introduction, examples, is often done by means of discrete event models that are analyzed numerically [152] or by simulation [105]. One key issue in these models is the adequate modeling of the load which describes the occurrence of events, let it be customer arrivals in queueing networks, failure times in relia
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