Dissertation/Thesis Abstract

A Dynamic Competing Risk Model for Filtering Reliability and Tracking Survivability
by Martin, Owen S., Ph.D., The George Washington University, 2012, 137; 3490816
Abstract (Summary)

The motivation for this dissertation is the resolution of a long-standing practical problem in reliability engineering, namely that of tracking reliability growth. The dissertation's essential output is the development of a coherent framework for casting the reliability growth problem as one of filtering, prediction, and tracking. This constitutes a paradigm shift in how reliability is monitored, namely as a dynamic system. The two by-products of this dissertation are: a probabilistic competing risk model and a reconsideration of the foundations of reliability via Popper's notion of propensity.

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Indexing (document details)
Advisor: Singpurwalla, Nozer D.
Commitee: Bose, Sudip, Bura, Efstathia, Cohen, Michael, Nayak, Tapan K.
School: The George Washington University
Department: Statistics
School Location: United States -- District of Columbia
Source: DAI-B 73/05, Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Epistemology, Statistics, Engineering
Keywords: Competing risk, Filtering reliability, Kalman filter, Propensity, Reliability growth, Tracking survivability
Publication Number: 3490816
ISBN: 9781267120328
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