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JSRI 2020, 16(2): 447-464 Back to browse issues page
A New Control Chart Based on a Bivariate Beta Distribution
Shohreh Enami1, Hamzeh Torabi *2, Taghi Akhavan Niaki3
1- Yazd University
2- Yazd University , hamzeh.torabi@gmail.com
3- Sharif University of Technology
Abstract:   (458 Views)
Abstract. In many practical situations, the quality of a product can be measured based on some quality characteristics in terms of the sum of the percentage of these characteristics utilities. In these cases, control charts based on multivariate beta distribution can be used to monitor the process. This study aims to introduce a new control chart for monitoring the quality of products when two quality characteristics follow a bivariate Beta distribution. The efficacy of the proposed control chart is evaluated using the average run length criterion using a simulation study. In the case that the parameters of this distribution are unknown, the maximum likelihood method is applied. Then, using a simulation study, the performance of the proposed charts, in two cases known and unknown parameters are compared.
Keywords:  Bivariate beta distribution, maximum likelihood method, average run length.
Full-Text [PDF 182 kb]   (338 Downloads)    
Type of Study: Research | Subject: General
Received: 2020/10/15 | Accepted: 2021/07/28 | Published: 2021/09/19
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Enami S, Torabi H, Akhavan Niaki T. A New Control Chart Based on a Bivariate Beta Distribution. JSRI. 2020; 16 (2) :447-464
URL: http://jsri.srtc.ac.ir/article-1-376-en.html

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Volume 16, Issue 2 (3-2020) Back to browse issues page
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