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Objective Bayesian reference analysis for system reliability

Grant number: 07/01770-3
Support type:Scholarships in Brazil - Master
Effective date (Start): October 01, 2007
Effective date (End): January 31, 2009
Field of knowledge:Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
Principal Investigator:Vera Lucia Damasceno Tomazella
Grantee:Camila Bertini Martins
Home Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil

Abstract

The system reliability problem is important for many areas, as medicine and engineering. There are many ways to do estimation of system reliability and your components. In general, the presented solutions are extremely restricted and its application is given only in very particular cases. The main studies in reliability were lead in the theory of competitive risks. The proposal of the project is to develop a method of distribution (survival) estimation of series systems (competitive risks) or parallel systems. The perspective used in this work will be the Bayesian ones. By the difficulty to give the prior distributions for the amounts of interest, we will work with the method developed by Berger and Bernardo (1989). This method describes one way to build a non-informative prior (reference prior). In this in case, the results produced by estimation process had only depended on the assumed model and the observed data. Applications of this theory also appear in finances and analysis of risk. (AU)