JSM 2005 - Toronto

Abstract #304186

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.



The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.


The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page



Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 276
Type: Contributed
Date/Time: Tuesday, August 9, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Quality and Productivity
Abstract - #304186
Title: Belief Functions Applied to System Reliability
Author(s): Wai F. Chiu*+ and Arthur P. Dempster
Companies: Los Alamos National Laboratory and Harvard University
Address: Statistical Sciences Group D1, Los Alamos, NM, 87545,
Keywords: Belief functions ; Dempster-Shafer theory ; System reliability ; Fault trees ; Prediction
Abstract:

Our approach to system reliability extends familiar Bayesian methods to include Dempster-Shafer (DS) belief functions. Numerical examples illustrate DS inferences for simple AND-gate and OR-gate systems, including system and component failure rates for a population of systems, and predicted outcomes for a future system and its components. We demonstrate a theorem asserting that system predictions can be obtained in two equivalent ways: by inferring population properties for the system and deducing predictions for a new system and by predicting the success or failure of each component and using logic to predict for the full system.


  • The address information is for the authors that have a + after their name.
  • Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program

JSM 2005 For information, contact jsm@amstat.org or phone (888) 231-3473. If you have questions about the Continuing Education program, please contact the Education Department.
Revised March 2005