Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/14970
Title: Estimating change point and process mean in control charts
Authors: CHEN YAN
Keywords: Average run length; Change point estimation; Maximum likelihood estimation; Process mean estimation; Statistical process control
Issue Date: 23-Nov-2005
Source: CHEN YAN (2005-11-23). Estimating change point and process mean in control charts. ScholarBank@NUS Repository.
Abstract: In a typical application of control charts, once a signal is issued by a chart, quality control engineers would then try to seek out assignable causes. If a signal is due to an assignable cause, then the magnitude of the shift and the time when the shift occurred are useful information to help engineers to narrow search window and hence less possible downtime. A signal could also be due to natural randomness and if evidence can be gathered in support of a false signal, then unnecessary and often expensive search effort can be avoided. All the published methods associated with a signal are often grossly biased depending on shift size. New and effective methods of estimating change point and process mean following a signal are developed, and compared with existing methods. The comparison shows that the new methods are able to remove the bias that is inherent in existing methods.
URI: http://scholarbank.nus.edu.sg/handle/10635/14970
Appears in Collections:Master's Theses (Open)

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
thesis.pdf1.04 MBAdobe PDF

OPEN

NoneView/Download

Page view(s)

203
checked on Dec 11, 2017

Download(s)

166
checked on Dec 11, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.