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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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Opis bibliograficzny
Główni autorzy: Buchholz, Peter. (Autor, 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)
Korporacja: SpringerLink (Online service)
Format: Elektroniczne E-book
Język:English
Wydane: Cham : Springer International Publishing : Imprint: Springer, 2014.
Wydanie:1st ed. 2014.
Seria:SpringerBriefs in Mathematics,
Hasła przedmiotowe:
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.
Dostęp online:https://doi.org/10.1007/978-3-319-06674-5
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Spis treści:
  • 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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