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Multivariate statistical process control charts based on the approximate sequential x² test
Kim, J.; Al-Khalifa, K. N.; Jeong, M. K.; Hamouda, A. M. S. - In: International journal of production research 52 (2014) 18, pp. 5514-5527
Persistent link: https://www.econbiz.de/10010419556
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Shifting artificial data to detect system failures
Hwang, Wook-Yeon; Lee, Jong-seok - In: International transactions in operational research : … 22 (2015) 2, pp. 363-378
Persistent link: https://www.econbiz.de/10011279704
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Multivariate control charts that combine the Hotelling T² and classification algorithms
Pak, Sŏng-hun; Kim, Seoung Bum - In: Journal of the Operational Research Society 70 (2019) 6, pp. 889-897
Persistent link: https://www.econbiz.de/10012213021
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An integrated approach for multivariate statistical process control using Mahalanobis-Taguchi System and Andrews function
Sikder, Sagar; Panja, Subhash Chandra; Mukherjee, Indrajit - In: International journal of quality & reliability management 34 (2017) 8, pp. 1186-1208
Persistent link: https://www.econbiz.de/10011754331
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A distribution-free control chart for monitoring high-dimensional processes based on interpoint distances
Shu, Lianjie; Fan, Jinyu - In: Naval research logistics : an international journal 65 (2018) 4, pp. 317-330
Persistent link: https://www.econbiz.de/10011969332
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Statistical analysis of management data
Gatignon, Hubert - 2003
Persistent link: https://www.econbiz.de/10001713085
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A general model for repeated audit controls using monotone subsampling
Raats, V. M. (contributor);  … - 2002 - [Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001655953
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A convenient representation for structural vector autoregressions
Breitung, Jörg - In: Empirical economics : a journal of the Institute for … 26 (2001) 2, pp. 447-459
Persistent link: https://www.econbiz.de/10001579920
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Multiple edit/multiple imputation for multivariate continuous data
Ghosch-Dastidar, Bonnie; Schafer, Joseph L. - In: Journal of the American Statistical Association : JASA 98 (2003) 464, pp. 807-817
Persistent link: https://www.econbiz.de/10001971273
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SAS for Monte Carlo studies : a guide for quantitative researchers
Fan, Xitao (contributor); Felsövályi, Ákos (contributor);  … - SAS Institute - 2002
Persistent link: https://www.econbiz.de/10001793356