Design and Analysis of Universal Exponentially Weighted Moving Average Control Chart
Abstract
References
Recommendations
A sum of squares double exponentially weighted moving average chart
The sum of squares double exponentially weighted moving average (SS-DEWMA) chart is proposed to improve the performance of the single SS-EWMA chart, in the detection of initial out-of-control signals. The SS-DEWMA chart uses the sum of squares statistic ...
A new exponentially weighted moving average control chart for monitoring the coefficient of variation
We propose a new EWMA chart for monitoring the process coefficient of variation.Tables are provided for the statistical properties of the new scheme.The proposed scheme can be easily designed and constructed.The proposed scheme can effectively detect ...
A control chart based on likelihood ratio test for detecting patterned mean and variance shifts
Control charts based on generalized likelihood ratio test (GLRT) are attractive from both theoretical and practical points of view. Most of the existing works in the literature focusing on the detection of the process mean and variance are almost based ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Other conferences](/cms/asset/25bc7b45-2c0d-43d5-ba8f-81a02af4d928/3508546.cover.jpg)
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Funding Sources
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 161Total Downloads
- Downloads (Last 12 months)94
- Downloads (Last 6 weeks)6
Other Metrics
Citations
View Options
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML FormatGet Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in