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Input Modeling with Phase-Type Distributions and Markov Models Theory and Applications /

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...

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Détails bibliographiques
Auteurs principaux: Buchholz, Peter. (Auteur, http://id.loc.gov/vocabulary/relators/aut), Kriege, Jan. (http://id.loc.gov/vocabulary/relators/aut), Felko, Iryna. (http://id.loc.gov/vocabulary/relators/aut)
Collectivité auteur: SpringerLink (Online service)
Format: Électronique eBook
Langue:English
Publié: Cham : Springer International Publishing : Imprint: Springer, 2014.
Édition:1st ed. 2014.
Collection:SpringerBriefs in Mathematics,
Sujets:
Probabilities.
Mathematical models.
Computer software.
Computer science—Mathematics.
Computer mathematics.
Probability Theory and Stochastic Processes.
Mathematical Modeling and Industrial Mathematics.
Mathematical Software.
Mathematical Applications in Computer Science.
Accès en ligne:https://doi.org/10.1007/978-3-319-06674-5
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Table des matières:
  • 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.

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