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SYSTEM ANALYSIS, INFORMATION MANAGEMENT AND PROCESSING, STATISTICS
On the comparative efficiency of change point detection in multivariate technological processes using multidimensional double control charts
A. N. Chesalin, S. Ya. Grodzensky, N. N. Ushkova, K. V. Bolotin, A. V. Stavtsev MIREA — Russian Technological University, Moscow
Abstract:
The problem of change point detection in multiparametric technological processes having a normal distribution and consisting in a shift from a given value of the sample mean and sample variance is investigated. Various types of control charts are considered, which make it possible to effectively detect simultaneous changes in the mean value and variance in multiparametric technological processes. By the method of statistical modeling, an analysis of the comparative effectiveness of control charts is carried out, practical recommendations are given.
Keywords:
multiparametric technological process, change point detection, multidimensional double control charts, statistical control of technological processes, Monte Carlo method, heat maps.
Received: 18.02.2023 Accepted: 26.03.2023
Citation:
A. N. Chesalin, S. Ya. Grodzensky, N. N. Ushkova, K. V. Bolotin, A. V. Stavtsev, “On the comparative efficiency of change point detection in multivariate technological processes using multidimensional double control charts”, Comp. nanotechnol., 10:1 (2023), 67–78
Linking options:
https://www.mathnet.ru/eng/cn404 https://www.mathnet.ru/eng/cn/v10/i1/p67
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Statistics & downloads: |
Abstract page: | 36 | Full-text PDF : | 31 |
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