Abstract
Monitoring of the process parameters is a key to enhancing the performance of the output. For this purpose many statistical tools are used in practice and control chart is one of the most popular choices. Bayesian and Classical setups are two major categories for defining the design structures of control charts. This study is planned to investigate the performance of the process mean control chart (i.e. X̄-Chart) in the Bayesian and Classical environments and compare them in terms of power and/or Average Run Length (ARL), Additionally this article will highlight and address some of the issues with the Bayesian setup of process monitoring for quality and reliability.
| Original language | English |
|---|---|
| Pages (from-to) | 1-7 |
| Number of pages | 7 |
| Journal | International Journal of Agricultural and Statistical Sciences |
| Volume | 7 |
| Issue number | 1 |
| State | Published - Jun 2011 |
Keywords
- Average Run Length (ARL)
- Bayesian
- Classical
- Elicitation
- Hyperparameters
- Power
- Prior uncertainty
- Unbiasedness
- X̄-chart
ASJC Scopus subject areas
- Statistics and Probability
- Agricultural and Biological Sciences (miscellaneous)
- Applied Mathematics