Publisher : Korean Data and Information Science Society
DOI : 10.7465/jkdi.2016.27.2.523
Title & Authors
Multioutput LS-SVR based residual MCUSUM control chart for autocorrelated process Hwang, Changha;
Most classical control charts assume that processes are serially independent, and autocorrelation among variables makes them unreliable. To address this issue, a variety of statistical approaches has been employed to estimate the serial structure of the process. In this paper, we propose a multioutput least squares support vector regression and apply it to construct a residual multivariate cumulative sum control chart for detecting changes in the process mean vector. Numerical studies demonstrate that the proposed multioutput least squares support vector regression based control chart provides more satisfying results in detecting small shifts in the process mean vector.
Autocorrelated process;least squares support vector regression;multioutput regression;multivariate cumulative sum control chart;residual control chart;statistical process;
Deep LS-SVM for regression, Journal of the Korean Data and Information Science Society, 2016, 27, 3, 827
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