Results 241 to 250 of about 30,909 (252)

SPC for short-run multivariate autocorrelated processes

Journal of Applied Statistics, 2011
This paper discusses the development of a multivariate control charting technique for short-run autocorrelated data manufacturing environment. The proposed approach is a combination of the multivariate residual charts for autocorrelated data and the multivariate transformation technique for i.i.d. process observations of short lengths.
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An EWMA for Monitoring Stationary Autocorrelated Process

2009 International Conference on Computational Intelligence and Software Engineering, 2009
When control charts are used to monitor a process, a standard assumption is that observations from the process at different times are independent random variables. However, the independence assumption is often not reasonable for processes of interest in many applications because the dynamics of the process product autocorrelation in the process ...
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Statistical Process Control for Autocorrelated Processes: A Case-Study

1997
Statistical control charts are usually designed to monitor independently distributed observations, typically subject to a normal distribution. For many industrial processes the normal distribution may indeed provide an adequate description of data. When production is in discrete items, the assumption of independence may often be reasonable, whereas ...
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STATISTICAL PROCESS MONITORING FOR AUTOCORRELATED DATA

Advances in Statistics, Combinatorics and Related Areas, 2002
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Autocorrelation in Multivariate Processes

1999
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Modeling and process disturbance detection of autocorrelated data

Nonlinear Analysis: Theory, Methods & Applications, 2001
English, John R., Alam, Jahangir
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Process Monitoring with Autocorrelated Data

1999
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On processes with hyperbolically decaying autocorrelations

Journal of Time Series Analysis, 2011
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Control Charts for Autocorrelated Process Data

1997
Ajit C. Tamhane, Edward C. Malthouse
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Autocorrelation analysis of the sliding process

Wear, 1958
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