This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
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Activity Number:
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474
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Type:
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Contributed
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Date/Time:
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Wednesday, August 4, 2010 : 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 - #307242 |
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Title:
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A Statistical Approach for a Special Censoring/Truncation Problem Arising in Nondestructive Evaluation
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Author(s):
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Ming Li*+ and William Q. Meeker
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Companies:
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Iowa State University and Iowa State University
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Address:
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Department of Statistics, Ames, IA, 50010,
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Keywords:
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bivariate normal ;
nondestructive inspection ;
repeated measurement ;
random effects with censoring ;
missing information ;
longitudinal study
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Abstract:
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In nondestructive evaluation (NDE) research, complex censoring and truncation are often present in the data due to the nature of the inspection procedures and interference from noise. This paper describes an application in which field inspection data is to be used to jointly estimate the crack-size distributions in a population of units and the probability of detecting cracks. Because of the nature of the inspection and repair processes, complicated censoring and truncation arise, as well as random crack growth effect and repeated longitudinal measurement of growing cracks. In this paper we describe the application and show how to develop a consistent method of estimation.
This material is based upon work supported by the Air Force Research Laboratory under Contract # FA8650-04-C-5228 at Iowa State University's Center for NDE
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Authors who are presenting talks have a * after their name.
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