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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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Библиографические подробности
Главные авторы: Buchholz, Peter. (Автор, 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)
Соавтор: SpringerLink (Online service)
Формат: Электронный ресурс eКнига
Язык:English
Опубликовано: Cham : Springer International Publishing : Imprint: Springer, 2014.
Редактирование:1st ed. 2014.
Серии:SpringerBriefs in Mathematics,
Предметы:
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.
Online-ссылка:https://doi.org/10.1007/978-3-319-06674-5
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Оглавление:
  • 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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