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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181
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Type:
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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 - #307185 |
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Title:
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Monitoring Profile Based on a Linear Regression Model with Correlated Errors
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Author(s):
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Tsung-Chi Cheng*+ and Su-Fen Yang
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Companies:
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National Chengchi University and National Chengchi University
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Address:
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64,Sec.2,ZhiNan Rd.,Wenshan District, Taiwan, International, 11623, Taiwan
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Keywords:
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Correlated errors ;
Hotelling's T2 statistic ;
statistical process control
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Abstract:
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Profile monitoring is a relatively new technique and getting popular in quality control, which is used when the process data follow a profile at each time period. In this paper, we consider the situation where the profiles are modeled parametrically using linear regression model with correlated errors. Diagnostic schemes to find out-of-control samples are developed for this purpose. The performance of the proposed approach is examined using average run length by a simulation study. A real data example is used to illustrate the results.
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