Results 211 to 220 of about 30,999 (254)

Analysis of Autocorrelations in Dynamic Processes

Technometrics, 1994
Data collected by process information and control systems are almost always correlated due to process dynamics combined with short sampling times. The traditional time series approach for dealing with autocorrelated data has been to model the autocorrelation. This modeling effort is substantially more difficult than simply treating the time series as a
Nien Fan Zhang, James F. Pollard
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MONITORING AUTOCORRELATED PROCESSES WITH WAVELETS

International Journal of Reliability, Quality and Safety Engineering, 2010
This paper develops a wavelet control chart for monitoring autocorrelated processes. The procedure uses the discrete wavelet transform of the original series, and traditional control charts are applied to the stream of wavelet coefficients. Unlike other control charts for monitoring autocorrelated processes found in the literature, the wavelet control ...
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DISTRIBUTION OF RESIDUAL AUTOCORRELATIONS IN NONSTATIONARY AUTOREGRESSIVE PROCESSES

Journal of Time Series Analysis, 1996
Abstract.The residual autocorrelations in nonstationary autoregressive processes with autoregressive characteristic roots on the unit circle are considered. Limiting distributions of the residual autocovariances and the residual autocorrelations are shown to be the same as the limiting distributions when parameters are estimated with all roots on the ...
Shin, Dong Wan, Lee, Jong Hyup
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Control charts for autocorrelated processes

2001
Ο Στατιστικός Έλεγχος Διεργασιών ασχολείται κυρίως με την εφαρμογή διαγραμμάτων ελέγχου. Τα διαγράμματα ελέγχου χρησιμοποιούνται για την παρακολούθηση της ποιότητας και της σταθερότητας των διεργασιών. Η μεθοδολογία του ελέγχου ποιότητας κάνει υποθέσεις για τη δομή των δεδομένων. Μία από αυτές είναι η υπόθεση της ανεξαρτησίας.
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Phase I Analysis for Autocorrelated Processes

Journal of Quality Technology, 2000
There has been recent interest in statistical process control for autocorrelated processes. Previous researchers have not distinguished models of autocorrelated common-cause variation from the actu...
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Autocorrelation Analysis of the Sliding Process

Journal of Applied Physics, 1956
A simple model of the sliding process is developed in which the junctions are of the same size, but have different shear strengths, and, using an artificially obtained friction trace, it is shown that the size of the junctions may be deduced through a simple autocorrelation analysis.
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On the Statistical Process Control of Multivariate Autocorrelated Processes

IFAC Proceedings Volumes, 2000
Abstract This paper examines how the dynamic information present in a multivariate set of data can be used to improve the performance of a monitoring scheme of the multivariate mean. Optimum performance of such a scheme requires the use of the covariance/correlation matrix of the time-lagged variables.
E. Kaskavelis, E.B. Martin, A.J. Morris, P. Jonathan   +3 more
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Parametric Modal Regression with Autocorrelated Error Process

Statistica Sinica
Summary: We propose an efficient two-step estimation procedure for a parametric modal regression with autoregressive errors. The procedure relies on estimating a parametric transformation of the dependent variable from data using a (penalized) kernel-based objective function. We establish asymptotic normality for the resulting estimator and demonstrate
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Autocorrelation's Effect on Process Capability Analysis

Asian Journal on Quality, 2009
The deviation of process output is usually estimated through the range or deviation of the sub‐samples in the calculation of process capability indices (PCI) in quality management. There are autocorrelation between the adjacent data in many practical process outputs. But this influence on PCI is not considered in process capability analysis.
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Monitoring autocorrelated process: A geometric Brownian motion process approach

AIP Conference Proceedings, 2013
Autocorrelated process control is common in today's modern industrial process control practice. The current practice of autocorrelated process control is to eliminate the autocorrelation by using an appropriate model such as Box-Jenkins models or other models and then to conduct process control operation based on the residuals.
Lee Siaw Li, Maman A. Djauhari
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