International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

2023, Vol. 8, Issue 1, Part A

Bayesian inference in control charts using normal prior


Author(s): S Abirami, N Vijayasankar and S Sasikala

Abstract:
The Control Chart is a method of quality control which utilizes statistical methods to monitor and manage processes and based on the sampling inspections and chart performance. This issue is currently being researched into the economic planning of control chart. The traditional approach to design control chart utilizes the traditional structure of control plot to determine the value of parameters of the chart, namely: The sample size, sample interval and control chart limits for achieving economic needs. Under Bayes estimate framework, focus on defining the optimal control policy based on posterior probabilities, thereby reducing total expected costs in the given finite time horizon or the expected average long-term costs.


DOI: 10.22271/maths.2023.v8.i1a.922

Pages: 22-25 | Views: 27 | Downloads: 8

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How to cite this article:
S Abirami, N Vijayasankar, S Sasikala. Bayesian inference in control charts using normal prior. Int J Stat Appl Math 2023;8(1):22-25. DOI: 10.22271/maths.2023.v8.i1a.922
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