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Journal of Applied Statistics Volume 37, 2010 - Issue 10
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Original Articles

Control charts for fraction nonconforming in a bivariate binomial process

Jing-Er Chiu Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Douliu, Yunlin, Taiwan, Republic of ChinaCorrespondence[email protected]
&
Tsen-I Kuo Department of Business Administration, National Kinmen Institute of Technology, Kinmen, Taiwan, Republic of China
Pages 1717-1728 | Received 28 Jan 2009, Accepted 29 Jun 2009, Published online: 21 Sep 2010

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Jiayun Jin & Geert Loosveldt. (2024) Nonparametric multivariate control chart for numerical and categorical variables. Communications in Statistics - Simulation and Computation 53:1, pages 457-475.
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Chia-Ding Hou. (2023) A simple test to determine the contributors of fraction nonconforming shifts in a multivariate binomial process. Quality Engineering 35:2, pages 279-289.
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Peihua Qiu, Zhen He & Zhiqiong Wang. (2019) Nonparametric monitoring of multiple count data. IISE Transactions 51:9, pages 972-984.
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Sotiris Bersimis, Aggeliki Sgora & Stelios Psarakis. (2018) The application of multivariate statistical process monitoring in non-industrial processes. Quality Technology & Quantitative Management 15:4, pages 526-549.
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Aamir Saghir & Zhengyan Lin. (2014) Control chart for monitoring multivariate COM-Poisson attributes. Journal of Applied Statistics 41:1, pages 200-214.
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Amir Afshin Fatahi, Rassoul Noorossana, Pershang Dokouhaki & Babak Farhang Moghaddam. (2012) Copula-Based Bivariate ZIP Control Chart for Monitoring Rare Events. Communications in Statistics - Theory and Methods 41:15, pages 2699-2716.
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Articles from other publishers (9)

Hanhan Li & Cong Li. (2023) Multivariate control charts for monitoring a bivariate correlated count process with application to meningococcal disease. Statistical Methods in Medical Research 32:12, pages 2299-2317.
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Harsh Tripathi, Mahendra Saha & Jitendra Tushaveera. (2022) Time truncated attribute control chart for generalized half-normal distribution and its application. Life Cycle Reliability and Safety Engineering 11:3, pages 229-235.
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Muhammad Aslam, Aamir Saghir & Liaquat Ahmad. 2020. Introduction to Statistical Process Control. Introduction to Statistical Process Control 231 250 .
Zhen He, Zhiqiong Wang, Fugee Tsung & Yanfen Shang. (2016) A control scheme for autocorrelated bivariate binomial data. Computers & Industrial Engineering 98, pages 350-359.
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Aamir Saghir & Zhengyan Lin. (2015) Control Charts for Dispersed Count Data: An Overview. Quality and Reliability Engineering International 31:5, pages 725-739.
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S. T. A. Niaki, Sonia Javadi & M. S. Fallahnezhad. (2014) A hybrid root transformation and decision on belief approach to monitor multiattribute Poisson processes. The International Journal of Advanced Manufacturing Technology 75:9-12, pages 1651-1660.
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S.T.A. Niaki & Majid Khedmati. (2014) Step change-point estimation of multivariate binomial processes. International Journal of Quality & Reliability Management 31:5, pages 566-587.
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Mohammad Hadi Doroudyan & Amirhossein Amiri. (2013) Monitoring multivariate–attribute processes based on transformation techniques. The International Journal of Advanced Manufacturing Technology 69:9-12, pages 2161-2172.
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Chung Ming Yang, Su Fen Yang & Jing Tenh Yeh. (2013) Using Adaptive Scheme to Monitoring Dependent Steps with Attributes Data. Advanced Materials Research 712-715, pages 2534-2537.
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