This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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165
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 2, 2010 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Quality and Productivity
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Abstract - #308961 |
Title:
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Inference for Variable-Stress Experiments
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Author(s):
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Nandini Kannan*+
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Companies:
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The University of Texas at San Antonio
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Address:
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One UTSA Circle, San Antonio, TX, 78249,
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Keywords:
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step-stress ;
variable stress ;
hazard function ;
cumulative exposure model
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Abstract:
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In this talk, we consider models for experiments in which the stress levels are altered at intermediate stages during the exposure. These variable-stress tests are part of the class of accelerated models used in reliability and life-testing applications. We consider a model in which the stress levels are applied for a fixed duration and then removed. After a period of rest, the stress is reapplied. We introduce a model that modifies the cumulative exposure model of Nelson to account for the lag effect that occurs before the effects of the change in stress are observed. We assume a continuous, piecewise constant hazard function. The model is fit to real data on decompression sickness, where subjects in an altitude chamber were exposed to altitudes in a repeated pattern. We compare the overall decompression rates for the variable stress model with the increasing stress model.
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Authors who are presenting talks have a * after their name.
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