Nonparametric Double EWMA Control Chart for Process Monitoring
In monitoring process parameters, we assume normality of the quality characteristic of interest, which is an ideal assumption. In many practical situations, we may not know the distributional behavior of the data, and hence, the need arises use nonparametric techniques. In this study, a nonparametri...
主要な著者: | MUHAMMAD RIAZ, SADDAM AKBER ABBASI |
---|---|
フォーマット: | 論文 |
言語: | English |
出版事項: |
Universidad Nacional de Colombia
2016-07-01
|
シリーズ: | Revista Colombiana de Estadística |
主題: | |
オンライン・アクセス: | http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-17512016000200002&lng=en&tlng=en |
類似資料
-
Joint monitoring of mean and variance using Max-EWMA control chart under lognormal process with application to engine oil data
著者:: Fatimah A. Almulhim, 等
出版事項: (2024-06-01) -
Improving Sensitivity of the DEWMA Chart with Exact ARL Solution under the Trend AR(p) Model and Its Applications
著者:: Kotchaporn Karoon, 等
出版事項: (2023-12-01) -
Bayesian control chart using variable sample size with engineering applications
著者:: Imad Khan, 等
出版事項: (2024-10-01) -
Bayesian Monitoring of Linear Profiles Using DEWMA Control Structures With Random <inline-formula> <tex-math notation="LaTeX">$X$ </tex-math></inline-formula>
著者:: Saddam Akber Abbasi, 等
出版事項: (2018-01-01) -
Efficient CV Control Charts Based on Ranked Set Sampling
著者:: Saddam Akber Abbasi, 等
出版事項: (2019-01-01)