The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Abstract Details
|
Activity Number:
|
620
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Thursday, August 4, 2011 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
Section on Quality and Productivity
|
| Abstract - #302936 |
|
Title:
|
A Bayesian Approach to Control Attributes
|
|
Author(s):
|
Panagiotis Tsiamyrtzis*+
|
|
Companies:
|
Athens University of Economics & Business
|
|
Address:
|
Patission 76 (RC/AUEB), Athens, International, 10434, Greece
|
|
Keywords:
|
Bayesian SPC ;
Beta mixtures ;
Phase I ;
short runs
|
|
Abstract:
|
We consider a process for which one or more quality characteristics are used to classify the outcome as acceptable or not. As a result we obtain attribute data of Binomial type distribution with unknown "success probability" that expresses the percent of nonconforming. In this work we focus in modeling dynamically this probability and detect (in an online fashion) of whether it shifts to higher values (i.e. we have process degradation) or not. The modeling will be based on a sequentially updated mixture of Beta distributions that will allow the process readings to contribute as they become available, making the approach particularly attractive in case of Phase I, or in general short run, attribute data. Decision making and prediction issues will be provided.
|
The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
Back to the full JSM 2011 program
|
2011 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.