This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 633
Type: Contributed
Date/Time: Thursday, August 5, 2010 : 8:30 AM to 10:20 AM
Sponsor: Section on Quality and Productivity
Abstract - #308939
Title: Optimal Design for Multifactor Life-Testing Experiments
Author(s): Steven E. Rigdon*+ and Douglas C. Montgomery and Rong Pan and Connie M. Borror
Companies: Southern Illinois University Edwardsville and Arizona State University and Arizona State University and Arizona State University West
Address: Box 1653, Edwardsville, IL, 62034, USA
Keywords: Optimal experimental design ; Bayesian design
Abstract:

Life testing experiments differ from most experiments in a number of ways. Instead of assuming a normal distribution for the response, we often assume a distribution such as the Weibull or gamma. Also, censoring, the termination of a life test before all units have failed, is common in life testing experiments. We investigate design optimality criteria for multifactor life testing experiments. We also investigate algorithms for obtaining optimal, or near-optimal designs.


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