Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation
Many process characteristics follow an exponential distribution, and control charts based on such a distribution have attracted a lot of attention. However, traditional control limits may be not appropriate because of the lack of symmetry. In this paper, process monitoring through a normalizing powe...
Saved in:
Main Authors: | , |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2000
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/253 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
id |
sg-smu-ink.soe_research-1252 |
---|---|
record_format |
dspace |
spelling |
sg-smu-ink.soe_research-12522010-09-23T05:48:03Z Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation YANG, Zhenlin Xie, M. Many process characteristics follow an exponential distribution, and control charts based on such a distribution have attracted a lot of attention. However, traditional control limits may be not appropriate because of the lack of symmetry. In this paper, process monitoring through a normalizing power transformation is studied. 2000-01-01T08:00:00Z text https://ink.library.smu.edu.sg/soe_research/253 info:doi/10.1080/02664760050173373 Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Economics |
institution |
Singapore Management University |
building |
SMU Libraries |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
SMU Libraries |
collection |
InK@SMU |
language |
English |
topic |
Economics |
spellingShingle |
Economics YANG, Zhenlin Xie, M. Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation |
description |
Many process characteristics follow an exponential distribution, and control charts based on such a distribution have attracted a lot of attention. However, traditional control limits may be not appropriate because of the lack of symmetry. In this paper, process monitoring through a normalizing power transformation is studied. |
format |
text |
author |
YANG, Zhenlin Xie, M. |
author_facet |
YANG, Zhenlin Xie, M. |
author_sort |
YANG, Zhenlin |
title |
Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation |
title_short |
Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation |
title_full |
Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation |
title_fullStr |
Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation |
title_full_unstemmed |
Process Monitoring for the Exponentially Distributed Characteristics through an Optimal Normalizing Transformation |
title_sort |
process monitoring for the exponentially distributed characteristics through an optimal normalizing transformation |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2000 |
url |
https://ink.library.smu.edu.sg/soe_research/253 |
_version_ |
1770569087183749120 |