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Activity Number:
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91
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Type:
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Invited
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Date/Time:
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Monday, August 7, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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| Abstract - #304996 |
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Title:
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Use of Computer Simulation To Plan Complicated Industrial Experiments
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Author(s):
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William Q. Meeker, Jr.*+
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Companies:
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Iowa State University
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Address:
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304C Snedecor Hall, Ames, IA, 50011-1210,
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Keywords:
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censoring ; maximum likelihood ; experimental design ; reliability ; nonlinear design
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Abstract:
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This talk describes methods and procedures for using Monte Carlo simulation and graphics to plan reliability and other nonstandard industrial experiments. Such experiments include accelerated life tests, repeated measures degradation tests, and accelerated destructive degradation tests. The design of such experiments typically answers questions about sample size, length of the test, and allocation of test units to levels of the accelerating variable(s). Models have complications such as random effects and censoring. Thus, standard experimental design tools need to be extended. I will describe methods that employ graphical displays for combinations of large-sample approximations for precision metrics and for the display of simulation results. Simulation will be shown to be a particularly versatile and valuable tool for providing insights into such complicated design problems.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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