Results 221 to 230 of about 5,687 (280)

A Robust Control Chart for Monitoring the Mean of an Autocorrelated Process

open access: yesCommunications in Statistics Part B: Simulation and Computation, 2015
Residual control charts are frequently used for monitoring autocorrelated processes. In the design of a residual control chart, values of the true process parameters are often estimated from a reference sample of in-control observations by using least ...
Burcu Aytacoglu, Håkan Savas Sazak
exaly   +2 more sources

Max-Chart for Autocorrelated Processes

Economic Quality Control, 2007
Summary: Statistical process control procedures are usually implemented under the assumption that the observations from a process are independent over time. However, this assumption is often violated. Therefore, we propose a single Shewhart-type control chart for autocorrelated processes by fitting a time series model into the process and monitoring ...
Thaga, K., Kgosi, P. M., Gabaitiri, L.
openaire   +2 more sources

Statistical process control on autocorrelated process

2013 10th International Conference on Service Systems and Service Management, 2013
Statistical process control techniques have found widespread application in industry for process improvement and for estimating process parameters or determining capability. Unfortunately, the assumption of uncorrelated or independent observations is not even approximately satisfied in some manufacturing processes.
Dja-Shin Wang   +3 more
openaire   +1 more source

Two Extremal Autocorrelated Arrival Processes

Probability in the Engineering and Informational Sciences, 1997
Extremal arrival processes, in the sense of increasing convex order of waiting time of queueing systems, are investigated. Two types of extremal processes are proposed: one in the class of processes that have identical marginal distributions and the other in the class of bounded stochastic processes that have the same mean and covariance structure. The
Toyoizumi, Hiroshi   +2 more
openaire   +1 more source

Speech processing by splicing of autocorrelation function

ICASSP '76. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
A speech processing system named SPAC (SPlicing of AutoCorrelation function) is proposed in order to compress or expand the speech spectrum, to prolong or shorten the duration of utterance, and to reduce the noise level in speech signal. A period of short-time autocorrelation function is sampled and spliced after change of the time scale.
openaire   +1 more source

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