NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.

Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.

U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

PUBLICATIONS

Statistical Process Monitoring for Autocorrelated Data

Published

Author(s)

Nien F. Zhang

Abstract

In the past years statistical process methodologies have been widely used in industry for process monitoring. However, the assumption that the process data are statistically independent is often invalid. This article discusses the approaches to deal with process autocorrelation in regarding of using process control charts and process capability indices.
Citation
Journal of Applied Mathematics and Decision Sciences
Pub Type
Journals

Keywords

moving average, process capability index, process control chart, stationary process, time series

Citation

Zhang, N. (2001), Statistical Process Monitoring for Autocorrelated Data, Journal of Applied Mathematics and Decision Sciences (Accessed October 25, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created October 1, 2001, Updated February 17, 2017
Was this page helpful?