JSM 2005 - Toronto

Abstract #302961

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: 109
Type: Contributed
Date/Time: Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #302961
Title: Estimation Error Comparisons of Failure Distribution for Accelerated Degradation Tests
Author(s): Shuen-Lin Jeng*+
Companies: Tunghai University
Address: No 181 Sec 3 Taichungkan road, Taichung, 407, Taiwan
Keywords: accelerated degradation test ; confidence interval ; estimation errors ; failure distribution
Abstract:

When the degradation measurements are closely related to the failure mechanism and the accelerated relationship is modeled appropriately, accelerated degradation data could provide information of failure distribution for units in the normal usage condition. Under the nonlinear degradation mixed model (several parameters of the model are random), the failure distribution is hard to be calculated exactly and is usually evaluated with numerical methods. In this talk, we will compare the estimation errors of failure distribution from four methods by giving confidence intervals. The methods considered are parametric nonlinear mixed effect, "pseudo failure times," traditional accelerated life test, and nonparametric nonlinear random effect. A set of data from integrated circuit power drop is used to demonstrate the estimation results and confidence intervals. We also conduct a simulation to compare the finite sample properties of these methods.


  • 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