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Format: HTML Label: Institute of Industrial Engineers, Inc. (IIE) Manufacturer: Institute of Industrial Engineers, Inc. (IIE) Number Of Pages: 11 Publication Date: June 01, 1996 Publisher: Institute of Industrial Engineers, Inc. (IIE) Release Date: July 28, 2005 Studio: Institute of Industrial Engineers, Inc. (IIE) Browse for similar items by category: Click to Display Editorial Review: Product Description: This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on June 1, 1996. The length of the article is 3231 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser. From the author: Modern statistical process control must often cope with large quantities of highly autocorrelated data. Alwan and Radson (1992) proposed the monitoring of autocorrelated processes by plotting the averages of small batches of data separated by skipping observations. Using results for the AR(1) process, we show that generally better performance can be achieved with no skipping and much larger batch sizes. The resulting batch-means charts derive from methods used in simulation output analysis and can be implemented easily with common digital control systems. Citation Details Title: Batch-means control charts for autocorrelated data. Author: George C. Runger Publication: IIE Transactions (Refereed) Date: June 1, 1996 Publisher: Institute of Industrial Engineers, Inc. (IIE) Volume: v28 Issue: n6 Page: p483(5) Distributed by Thomson Gale 
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