Estimating the limits for statistical process control charts: A direct method improving upon the bootstrap [An article from: European Journal of Operational Research]
Book Details
Author(s)S. Teyarachakul, S. Chand, J. Tang
PublisherElsevier
ISBN / ASINB000PC07CE
ISBN-13978B000PC07C5
MarketplaceCanada 🇨🇦
Description
This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
This paper considers the problem of finding limits for a statistical process control (SPC) chart for the process mean, when the process distribution is unknown. The bootstrap method estimates these limits relying on Monte Carlo methods, which are subject to simulation errors. Therefore this paper develops a computationally efficient enumeration method for exact calculations of the control limits.
Description:
This paper considers the problem of finding limits for a statistical process control (SPC) chart for the process mean, when the process distribution is unknown. The bootstrap method estimates these limits relying on Monte Carlo methods, which are subject to simulation errors. Therefore this paper develops a computationally efficient enumeration method for exact calculations of the control limits.
