Accession Number:

ADA617662

Title:

Modeling Systems of Dependent Components

Descriptive Note:

Final rept. 15 Mar 2011-14 Jul 2014

Corporate Author:

UNIVERSITY OF SOUTHERN CALIFORNIA LOS ANGELES

Personal Author(s):

Report Date:

2014-09-17

Pagination or Media Count:

17.0

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 ni type i shocks, we give a method for studying the distribution of the the number of shocks needed to cause the system to fail.

Subject Categories:

  • Statistics and Probability
  • Operations Research

Distribution Statement:

APPROVED FOR PUBLIC RELEASE