Results 241 to 250 of about 5,687 (280)

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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Multivariate Quality Control Chart for Autocorrelated Processes

Journal of Applied Statistics, 2004
Traditional multivariate statistical process control (SPC) techniques are based on the assumption that the successive observation vectors are independent. In recent years, due to automation of measurement and data collection systems, a process can be sampled at higher rates, which ultimately leads to autocorrelation.
A A, Kalgonda, S R, Kulkarni
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Statistical Process Control of Stationary Autocorrelated Process

2010 International Conference on Intelligent Computation Technology and Automation, 2010
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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Multivariate statistical process control for autocorrelated processes

International Journal of Production Research, 1996
Multivariate statistical process control is often used in chemical and process industries where autocorrelation is most prevalent. We present a realistic model that generates autocorrelation and crosscorrelation and provides a useful approach to characterizing process data.
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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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Modeling autocorrelated process control with industrial application

2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014
In past literature, a primary solution to deal with autocorrelated process data consists of two steps, namely (i) time series model building and (ii) control charting based on the residuals. However, it requires some sophisticated statistical skills to build a satisfactory model during the first step. This has motivated us to propose a new procedure of
Siaw Li Lee, Maman Abdurachman Djauhari, Ismail Mohamad   +2 more
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MONITORING AUTOCORRELATED PROCESSES

2011
Several control schemes for monitoring process mean shifts, including cumulative sum (CUSUM), weighted cumulative sum (WCUSUM), adaptive cumulative sum (ACUSUM) and exponentially weighted moving average (EWMA) control schemes, display high performance in detecting constant process mean shifts.
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The sample autocorrelation function of I(1) processes

Statistical Papers, 1994
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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PHYLOGENETIC AUTOCORRELATION UNDER DISTINCT EVOLUTIONARY PROCESSES

Evolution, 2001
I show how phylogenetic correlograms track distinct microevolutionary processes and can be used as empirical descriptors of the relationship between interspecific covariance (V(B)) and time since divergence (t). Data were simulated under models of gradual and speciational change, using increasing levels of stabilizing selection in a stochastic Ornstein-
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