Dissertation/Thesis Abstract

Risk Matrix Analysis Using Copulas
by Hong, Xing, Ph.D., The George Washington University, 2012, 114; 3502619
Abstract (Summary)

In this research, a framework is developed to determine the best design of risk matrices based on Cox's (2008) approach, where the performance of a risk matrix is evaluated through the probability of elimination error value. The development of research requires extension of Cox's (2008) approach to 3×3, 4×4, 5×5 matrices and up to four vice three risk priority levels. Analyses of risk matrices with equally and non-equally spaced breakpoint designs for both likelihood and consequence are provided. In the course of the research, all possible colorings are determined for difference sized risk matrices which adhere to Cox's basic rules. Next, the joint distribution of consequence and likelihood is generated using a generalized diagonal band (GDB) copula, where the dependence parameter of the GDB copula is estimated through expert elicitation. Finally, given the copula selection, the optimal coloring with the minimal probability of elimination error value is determined after the calculation of the probability of elimination error for all possible colorings. The comparison between theoretical and numerical results is provided for the 2×2 risk matrix, and numerical analyses are provided for the 3×3, 4×4, 5×5 risk matrices.

Indexing (document details)
Advisor: Mazzuchi, Thomas A.
Commitee: Murphree, E. Lile, Shaw, Gregory L., Soyer, Refik, Van Dorp, Johan R.
School: The George Washington University
Department: Engineering Mgt and Systems Engineering
School Location: United States -- District of Columbia
Source: DAI-B 73/07(E), Dissertation Abstracts International
Subjects: Systems science, Operations research
Keywords: Copulas, Generalized diagonal band, Qualitative risk analysis, Risk matrix
Publication Number: 3502619
ISBN: 9781267258175
Copyright © 2019 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy