+Advanced Search

Bayesian Multivariate Monitoring Models for Process Mean Vector Based on Multistage Predictive Distributions
Author:
Affiliation:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
    Abstract:

    To utilize sample' information in different stages and solve the parameter uncertainty risk in statistical process control, this paper introduces a reference prior distribution for the parameters in quality models, and constructed the warning lines and action lines to monitor the mean vector's change according the predictive distribution as well as the relationship between the multivariate .t. distribution and .F. distribution. When the current stage is under control, the parametric posterior distribution is considered to be their priori distribution in the next stage, in which the sequential Bayesian mean vector control method is established.

    Reference
    Related
    Cited by
Article Metrics
  • PDF:
  • HTML:
  • Abstract:
  • Cited by:
Get Citation
History
  • Received:
  • Revised:
  • Adopted:
  • Online:
  • Published: