Abstract #300507

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JSM 2002 Abstract #300507
Activity Number: 154
Type: Contributed
Date/Time: Monday, August 12, 2002 : 2:00 PM to 3:50 PM
Sponsor: Section on Quality & Productivity*
Abstract - #300507
Title: Estimation of Process Variance in Using SPC Charts for a Stationary Process
Author(s): Nien Fan Zhang*+
Affiliation(s): National Institute of Standards & Technology
Address: 100 Bureau Drive, Stop 8980, Gaithersburg, Maryland, 20899, USA
Keywords: Burg estimator ; time series ; least squares ; unbiased estimator
Abstract:

Recently, statistical process control (SPC) methodologies have been developed to accommodate autocorrelated data. To construct control charts for stationary process data, the process variance needs to be estimated. For an i.i.d. sequence of a random variable, the variance is usually estimated by the sample variance. For a stationary process, however, several estimators of the process variance were used. In this presentation, comparisons and recommendations of estimators of process variance are made based on the criterion of minimum mean-squared error.

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