Modeling Systems of Dependent Components

Abstract

New classes of stochastic models for network systems having stochastically dependent components are studied by a combination of probabilistic analysis and efficient simulation techniques. For instance, in a model in which shocks of r different types occur, with component i failing when there have been a total of n(i) type i shocks, we give a method for studying the distribution of the the number of shocks needed to cause the system to fail.

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Document Details

Document Type
Technical Report
Publication Date
Sep 17, 2014
Accession Number
ADA617662

Entities

People

  • Babak Haji
  • Sheldon Ross

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Applied Mathematics
  • Department Of Defense
  • Dynamic Programming
  • Engineering
  • Estimators
  • Markov Chains
  • Mathematics
  • Military Research
  • Operations Research
  • Optimization
  • Probability
  • Probability Distributions
  • Random Variables
  • Simulations
  • Students

Fields of Study

  • Mathematics

Readers

  • Artificial Intelligence
  • Combustion Dynamics and Shock Wave Physics.
  • Regression Analysis.