Cover Image

Proposed X and S control charts for skewed distributions

This paper proposes a weighted variance method to compute the limits of the X and S charts for skewed distributions.The proposed charts extend the weighted variance X and R charts in by enabling a process from a skewed distribution with moderate and large sample sizes to be monitored efficiently, he...

Full description

Saved in:
Bibliographic Details
Main Authors: Khoo, M. B. C., Atta, Abdu Mohammed Ali, Chen, C-H.
Format: Conference or Workshop Item
Language:English
Published: 2009
Subjects:
QA76 Computer software
Online Access:http://repo.uum.edu.my/12802/1/05.pdf
http://repo.uum.edu.my/12802/
http://dx.doi.org/10.1109/IEEM.2009.5373327
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uum.repo.12802
record_format eprints
spelling my.uum.repo.128022014-12-17T03:35:39Z http://repo.uum.edu.my/12802/ Proposed X and S control charts for skewed distributions Khoo, M. B. C. Atta, Abdu Mohammed Ali Chen, C-H. QA76 Computer software This paper proposes a weighted variance method to compute the limits of the X and S charts for skewed distributions.The proposed charts extend the weighted variance X and R charts in by enabling a process from a skewed distribution with moderate and large sample sizes to be monitored efficiently, hence producing more favourable Type-I and Type-II error rates than the charts in.Note that the charts in are only intended to be used for small sample sizes. The Type-I and Type-II error rates computed show that the proposed charts outperform the existing heuristic charts, as well as those in for moderate and large sample sizes, involving cases with known and unknown parameters, when the distribution of a process is skewed. 2009 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/12802/1/05.pdf Khoo, M. B. C. and Atta, Abdu Mohammed Ali and Chen, C-H. (2009) Proposed X and S control charts for skewed distributions. In: IEEE International Conference on Industrial Engineering and Engineering Management ( IEEM 2009), 8-11 Dec. 2009, Hong Kong. http://dx.doi.org/10.1109/IEEM.2009.5373327 doi:10.1109/IEEM.2009.5373327
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Institutionali Repository
url_provider http://repo.uum.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Khoo, M. B. C.
Atta, Abdu Mohammed Ali
Chen, C-H.
Proposed X and S control charts for skewed distributions
description This paper proposes a weighted variance method to compute the limits of the X and S charts for skewed distributions.The proposed charts extend the weighted variance X and R charts in by enabling a process from a skewed distribution with moderate and large sample sizes to be monitored efficiently, hence producing more favourable Type-I and Type-II error rates than the charts in.Note that the charts in are only intended to be used for small sample sizes. The Type-I and Type-II error rates computed show that the proposed charts outperform the existing heuristic charts, as well as those in for moderate and large sample sizes, involving cases with known and unknown parameters, when the distribution of a process is skewed.
format Conference or Workshop Item
author Khoo, M. B. C.
Atta, Abdu Mohammed Ali
Chen, C-H.
author_facet Khoo, M. B. C.
Atta, Abdu Mohammed Ali
Chen, C-H.
author_sort Khoo, M. B. C.
title Proposed X and S control charts for skewed distributions
title_short Proposed X and S control charts for skewed distributions
title_full Proposed X and S control charts for skewed distributions
title_fullStr Proposed X and S control charts for skewed distributions
title_full_unstemmed Proposed X and S control charts for skewed distributions
title_sort proposed x and s control charts for skewed distributions
publishDate 2009
url http://repo.uum.edu.my/12802/1/05.pdf
http://repo.uum.edu.my/12802/
http://dx.doi.org/10.1109/IEEM.2009.5373327
_version_ 1644281004606619648
score 13.244404

Similar Items