標題: Statistical process monitoring using an empirical Bayes multivariate process control chart
作者: Feltz, CJ
Shiau, JJH
統計學研究所
Institute of Statistics
關鍵字: multivariate;quality control;on-line
公開日期: 1-三月-2001
摘要: In this paper, we describe the theory underlying an empirical Bayesian approach to monitoring two or more process characteristics simultaneously. If the, data is continuous and multivariate in nature, often the multivariate normal distribution can be used to model the process. Then, using Bayesian theory: we develop techniques to implement empirical Bayes process monitoring of the multivariable process. Lastly, an example is given to illustrate the use of our techniques. Copyright (C) 2001 John Wiley & Sons, Ltd.
URI: http://dx.doi.org/10.1002/qre.393
http://hdl.handle.net/11536/29810
ISSN: 0748-8017
DOI: 10.1002/qre.393
期刊: QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
Volume: 17
Issue: 2
起始頁: 119
結束頁: 124
顯示於類別:期刊論文


文件中的檔案:

  1. 000168447800007.pdf