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For: Huwang L, Huang C, Wang YT. New EWMA control charts for monitoring process dispersion. Comput Stat Data Anal 2010;54:2328-42. [DOI: 10.1016/j.csda.2010.03.011] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Number Cited by Other Article(s)
1
Zaagan AA, Khan I, Alzahrani ARR, Ahmad B. Parameter free AEWMA control chart for dispersion in semiconductor manufacturing. Sci Rep 2024;14:10512. [PMID: 38714824 PMCID: PMC11076580 DOI: 10.1038/s41598-024-61408-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 05/06/2024] [Indexed: 05/10/2024]  Open
2
Haridy S, Alamassi B, Maged A, Shamsuzzaman M, Al Owad A, Bashir H. Economic statistical model of the np chart for monitoring defectives. Sci Rep 2023;13:13179. [PMID: 37580471 PMCID: PMC10425373 DOI: 10.1038/s41598-023-40151-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 08/05/2023] [Indexed: 08/16/2023]  Open
3
Chen JH, Lu SL, Liao CT. An enhanced sum of squares generally weighted moving average chart based on auxiliary information for process monitoring. J STAT COMPUT SIM 2022. [DOI: 10.1080/00949655.2022.2098498] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
4
Economic-Statistical Performance of Auxiliary Information-Based Maximum EWMA Charts for Monitoring Manufacturing Processes. MATHEMATICS 2022. [DOI: 10.3390/math10132320] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
5
Alevizakos V, Chatterjee K, Koukouvinos C, Lappa A. A double generally weighted moving average control chart for monitoring the process variability. J Appl Stat 2022;50:2079-2107. [PMID: 37434629 PMCID: PMC10332243 DOI: 10.1080/02664763.2022.2064977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 04/03/2022] [Indexed: 10/18/2022]
6
Mahadik SB, Godase DG, Teoh WL. A two-sided SPRT control chart for process dispersion. J STAT COMPUT SIM 2021. [DOI: 10.1080/00949655.2021.1943667] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
7
Kumar N, Singh RK. A comparative study of ANI- and ARL-unbiased geometric and CCCG control charts. Seq Anal 2021. [DOI: 10.1080/07474946.2020.1823194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
8
A New HWMA Dispersion Control Chart with an Application to Wind Farm Data. MATHEMATICS 2020. [DOI: 10.3390/math8122136] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
9
A New Sum of Squares Exponentially Weighted Moving Average Control Chart Using Auxiliary Information. Symmetry (Basel) 2020. [DOI: 10.3390/sym12111888] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]  Open
10
Process monitoring using inflated beta regression control chart. PLoS One 2020;15:e0236756. [PMID: 32730316 PMCID: PMC7392223 DOI: 10.1371/journal.pone.0236756] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Accepted: 07/11/2020] [Indexed: 11/23/2022]  Open
11
Morais MC. ARL-unbiased geometric andCCCGcontrol charts. Seq Anal 2018. [DOI: 10.1080/07474946.2017.1394717] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
12
Munir W, Haq A. New cumulative sum control charts for monitoring process variability. J STAT COMPUT SIM 2017. [DOI: 10.1080/00949655.2017.1346102] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
13
Paulino S, Morais MC, Knoth S. On ARL-unbiased c-charts for INAR(1) Poisson counts. Stat Pap (Berl) 2016. [DOI: 10.1007/s00362-016-0861-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
14
Wang YHT, Wang H. On the monitoring of mixture simple linear profiles. J STAT COMPUT SIM 2016. [DOI: 10.1080/00949655.2016.1145679] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
15
Zhang J, He C, Li Z, Wang Z. Likelihood ratio test-based chart for monitoring the process variability. COMMUN STAT-SIMUL C 2015. [DOI: 10.1080/03610918.2014.957845] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
16
Zafar RF, Abbas N, Riaz M, Hussain Z. Progressive Variance Control Charts for Monitoring Process Dispersion. COMMUN STAT-THEOR M 2014. [DOI: 10.1080/03610926.2012.717668] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
17
Zhang G. ImprovedRandscontrol charts for monitoring the process variance. J Appl Stat 2013. [DOI: 10.1080/02664763.2013.864264] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
18
Shamsuzzaman M, Wu Z. Design of EWMA control chart for minimizing the proportion of defective units. INTERNATIONAL JOURNAL OF QUALITY & RELIABILITY MANAGEMENT 2012. [DOI: 10.1108/02656711211270379] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
19
Graham M, Mukherjee A, Chakraborti S. Distribution-free exponentially weighted moving average control charts for monitoring unknown location. Comput Stat Data Anal 2012. [DOI: 10.1016/j.csda.2012.02.010] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
20
Graham M, Chakraborti S, Human S. A nonparametric exponentially weighted moving average signed-rank chart for monitoring location. Comput Stat Data Anal 2011. [DOI: 10.1016/j.csda.2011.02.013] [Citation(s) in RCA: 44] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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