Level Crossing Methods in Stochastic Models

Level Crossing Methods in Stochastic Models

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Since its inception in 1974, the level crossing approach for analyzing a large class of stochastic models has become increasingly popular among researchers. This volume traces the evolution of level crossing theory for obtaining probability distributions of state variables and demonstrates solution...

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Bibliographic Details
Main Author: Brill, Percy H. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Boston, MA : Springer US : Imprint: Springer, 2008.
Series:International Series in Operations Research & Management Science, 123
Subjects:
Mathematics.
Production management.
Operations research.
Decision making.
Computer system failures.
Mathematical models.
Probabilities.
Industrial engineering.
Production engineering.
Mathematical Modeling and Industrial Mathematics.
Probability Theory and Stochastic Processes.
Operation Research/Decision Theory.
Industrial and Production Engineering.
Operations Management.
System Performance and Evaluation.
Online Access:Full Text via HEAL-Link
Table of Contents:
  • Origin Of Level Crossing Method
  • Sample Path And System Point
  • M/G/1 Queues And Variants
  • M/M/C Queues
  • G/M/c Queues
  • Dams and Inventories
  • Multi-Dimensional Models
  • Embedded Level Crossing Method
  • Level Crossing Estimation
  • Additional Applications.

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