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Input Modeling with Phase-Type Distributions and Markov Models : Theory and Applications - Peter Buchholz

(*)

Peter Buchholz:
Input Modeling with Phase-Type Distributions and Markov Models : Theory and Applications - Livro de bolso

2014, ISBN: 3319066730

[EAN: 9783319066738], Neubuch, [SC: 0.0], [PU: Springer International Publishing], INPUTMODELING; MARKOVMODELS; MARKOVIANARRIVALPROCESSES; PHASETYPEDISTRIBUTIONS; STOCHASTICSIMULATION, Dr… mais…

[EAN: 9783319066738], Neubuch, [SC: 0.0], [PU: Springer International Publishing], INPUTMODELING; MARKOVMODELS; MARKOVIANARRIVALPROCESSES; PHASETYPEDISTRIBUTIONS; STOCHASTICSIMULATION, Druck auf Anfrage Neuware - Printed after ordering - 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 performance and dependability analysis of computer systems, communication networks, logistics or manufacturing systems but also the analysis of biological or chemical reaction networks and similar problems. Often the measured values have a high variability and are correlated. It's been known for a long time that Markov based models like phase type distributions or Markovian arrival processes are very general and allow one to capture even complex behaviors. However, the parameterization of these models results often in a complex and non-linear optimization problem. Only recently, several new results about the modeling capabilities of Markov based models and algorithms to fit the parameters of those models have been published., Books<

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Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Buchholz, Peter

(*)

Buchholz, Peter:
Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Livro de bolso

2014, ISBN: 9783319066738

Mitwirkende: Kriege, Jan, Mitwirkende: Felko, Iryna, Springer, Taschenbuch, Auflage: 2014, 140 Seiten, Publiziert: 2014-06-06T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 7 black & whi… mais…

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Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Buchholz, Peter

(*)

Buchholz, Peter:
Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Livro de bolso

2014, ISBN: 9783319066738

Mitwirkende: Kriege, Jan, Mitwirkende: Felko, Iryna, Springer, Taschenbuch, Auflage: 2014, 140 Seiten, Publiziert: 2014-06-06T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 7 black & whi… mais…

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Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Buchholz, Peter

(*)

Buchholz, Peter:
Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Livro de bolso

2014, ISBN: 9783319066738

Mitwirkende: Kriege, Jan, Mitwirkende: Felko, Iryna, Springer, Taschenbuch, Auflage: 2014, 140 Seiten, Publiziert: 2014-06-06T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 7 black & whi… mais…

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(*) Livro esgotado significa que o livro não está disponível em qualquer uma das plataformas associadas buscamos.

Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Buchholz, Peter, Kriege, Jan, Felko, Iryna

(*)

Buchholz, Peter, Kriege, Jan, Felko, Iryna:
Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Livro de bolso

2014, ISBN: 9783319066738

Springer, Paperback, Auflage: 2014, 139 Seiten, Publiziert: 2014-06-06T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 7 black & white illustrations, 35 colour, 2.49 kg, Books Global Stor… mais…

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Input Modeling with Phase-Type Distributions and Markov Models : Theory and Applications - Peter Buchholz

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Peter Buchholz:

Input Modeling with Phase-Type Distributions and Markov Models : Theory and Applications - Livro de bolso

2014, ISBN: 3319066730

[EAN: 9783319066738], Neubuch, [SC: 0.0], [PU: Springer International Publishing], INPUTMODELING; MARKOVMODELS; MARKOVIANARRIVALPROCESSES; PHASETYPEDISTRIBUTIONS; STOCHASTICSIMULATION, Dr… mais…

[EAN: 9783319066738], Neubuch, [SC: 0.0], [PU: Springer International Publishing], INPUTMODELING; MARKOVMODELS; MARKOVIANARRIVALPROCESSES; PHASETYPEDISTRIBUTIONS; STOCHASTICSIMULATION, Druck auf Anfrage Neuware - Printed after ordering - 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 performance and dependability analysis of computer systems, communication networks, logistics or manufacturing systems but also the analysis of biological or chemical reaction networks and similar problems. Often the measured values have a high variability and are correlated. It's been known for a long time that Markov based models like phase type distributions or Markovian arrival processes are very general and allow one to capture even complex behaviors. However, the parameterization of these models results often in a complex and non-linear optimization problem. Only recently, several new results about the modeling capabilities of Markov based models and algorithms to fit the parameters of those models have been published., Books<

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Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Buchholz, Peter

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Buchholz, Peter:

Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Livro de bolso

2014, ISBN: 9783319066738

Mitwirkende: Kriege, Jan, Mitwirkende: Felko, Iryna, Springer, Taschenbuch, Auflage: 2014, 140 Seiten, Publiziert: 2014-06-06T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 7 black & whi… mais…

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Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Buchholz, Peter

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Buchholz, Peter:
Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Livro de bolso

2014

ISBN: 9783319066738

Mitwirkende: Kriege, Jan, Mitwirkende: Felko, Iryna, Springer, Taschenbuch, Auflage: 2014, 140 Seiten, Publiziert: 2014-06-06T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 7 black & whi… mais…

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Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Buchholz, Peter

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Buchholz, Peter:
Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Livro de bolso

2014, ISBN: 9783319066738

Mitwirkende: Kriege, Jan, Mitwirkende: Felko, Iryna, Springer, Taschenbuch, Auflage: 2014, 140 Seiten, Publiziert: 2014-06-06T00:00:01Z, Produktgruppe: Buch, Hersteller-Nr.: 7 black & whi… mais…

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Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Buchholz, Peter, Kriege, Jan, Felko, Iryna

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Buchholz, Peter, Kriege, Jan, Felko, Iryna:
Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics) - Livro de bolso

2014, ISBN: 9783319066738

Springer, Paperback, Auflage: 2014, 139 Seiten, Publiziert: 2014-06-06T00:00:01Z, Produktgruppe: Book, Hersteller-Nr.: 7 black & white illustrations, 35 colour, 2.49 kg, Books Global Stor… mais…

Gut Custos de envio:Usually dispatched within 2 to 3 days. Die angegebenen Versandkosten können von den tatsächlichen Kosten abweichen. (EUR 5.49) momox co uk

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Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics)

Autor:	Buchholz, Peter
Título:	Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics)
Número ISBN:	9783319066738

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 performance and dependability analysis of computer systems, communication networks, logistics or manufacturing systems but also the analysis of biological or chemical reaction networks and similar problems. Often the measured values have a high variability and are correlated. It's been known for a long time that Markov based models like phase type distributions or Markovian arrival processes are very general and allow one to capture even complex behaviors. However, the parameterization of these models results often in a complex and non-linear optimization problem. Only recently, several new results about the modeling capabilities of Markov based models and algorithms to fit the parameters of those models have been published.

Dados detalhados do livro - Input Modeling with Phase-Type Distributions and Markov Models: Theory and Applications (SpringerBriefs in Mathematics)

EAN (ISBN-13): 9783319066738
ISBN (ISBN-10): 3319066730
Livro de capa dura
Livro de bolso
Ano de publicação: 2014
Editor/Editora: Springer

Livro na base de dados desde 2014-05-26T08:32:37-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-02-17T21:41:29-03:00 (Sao Paulo)
Número ISBN/EAN: 9783319066738

Número ISBN - Ortografia alternativa:
3-319-06673-0, 978-3-319-06673-8
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: peter krieg, peter buchholz, kriege, jan buchholz
Título do livro: type, phase theory, markov, marko, jan, kriege, applications the theory distributions, typ, peter buchholz

Dados da editora

Autor: Peter Buchholz; Jan Kriege; Iryna Felko
Título: SpringerBriefs in Mathematics; Input Modeling with Phase-Type Distributions and Markov Models - Theory and Applications
Editora: Springer; Springer International Publishing
127 Páginas
Ano de publicação: 2014-06-06
Cham; CH
Impresso / Feito em
Língua: Inglês
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
XII, 127 p. 42 illus., 35 illus. in color.

BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Input modeling; Markov models; Markovian arrival processes; phase type distributions; stochastic simulation; Probability Theory; Mathematical Modeling and Industrial Mathematics; Mathematical Software; Mathematical Applications in Computer Science; Stochastik; Mathematische Modellierung; Mathematik für Ingenieure; Mathematische und statistische Software; Theoretische Informatik; EA

1. Introduction.- 2. Phase Type Distributions.- 3. Parameter Fitting for Phase Type Distributions.- 4. Markovian Arrival Processes.- 5. Parameter Fitting of MAPs.- 6. Stochastic Models including PH Distributions and MAPs.- 7. Software Tools.- 8. Conclusion.- References.- Index.
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 according to measured traces Introduces the use of PH distributions and MAPs in stochastic models including simulation models, especially in the network simulator OMNeT++ Includes supplementary material: sn.pub/extras

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