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"Nonstationarity in statistical process control issues, cases, ideas" by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker

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"Nonstationarity in statistical process control issues, cases, ideas" by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker

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Ferrer Riquelme, AJ. (2011). "Nonstationarity in statistical process control issues, cases, ideas" by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker. Applied Stochastic Models in Business and Industry. 27(4):379-381. doi:10.1002/asmb.913

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Title: "Nonstationarity in statistical process control issues, cases, ideas" by B. De Ketelaere, K. Mertens, F. Mathijs, D. Sabin Diaz and J. De Baerdemaeker
Author: Ferrer Riquelme, Alberto José
UPV Unit: Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat
Issued date:
Copyrigths: Cerrado
Source:
Applied Stochastic Models in Business and Industry. (issn: 1524-1904 )
DOI: 10.1002/asmb.913
Publisher:
Wiley-Blackwell
Publisher version: http://onlinelibrary.wiley.com/doi/10.1002/asmb.913/pdf
Type: Artículo

References

Box, G., & Narasimhan, S. (2010). Rethinking Statistics for Quality Control. Quality Engineering, 22(2), 60-72. doi:10.1080/08982110903510297

Ferrer-Riquelme, A. J. (2009). Statistical Control of Measures and Processes. Comprehensive Chemometrics, 97-126. doi:10.1016/b978-044452701-1.00096-x

Rius, A., Ruisánchez, I., Callao, M. P., & Rius, F. X. (1998). Reliability of analytical systems: use of control charts, time series models and recurrent neural networks (RNN). Chemometrics and Intelligent Laboratory Systems, 40(1), 1-18. doi:10.1016/s0169-7439(97)00085-3 [+]
Box, G., & Narasimhan, S. (2010). Rethinking Statistics for Quality Control. Quality Engineering, 22(2), 60-72. doi:10.1080/08982110903510297

Ferrer-Riquelme, A. J. (2009). Statistical Control of Measures and Processes. Comprehensive Chemometrics, 97-126. doi:10.1016/b978-044452701-1.00096-x

Rius, A., Ruisánchez, I., Callao, M. P., & Rius, F. X. (1998). Reliability of analytical systems: use of control charts, time series models and recurrent neural networks (RNN). Chemometrics and Intelligent Laboratory Systems, 40(1), 1-18. doi:10.1016/s0169-7439(97)00085-3

Kourti, T., & MacGregor, J. F. (1996). Multivariate SPC Methods for Process and Product Monitoring. Journal of Quality Technology, 28(4), 409-428. doi:10.1080/00224065.1996.11979699

Nomikos, P., & MacGregor, J. F. (1995). Multivariate SPC Charts for Monitoring Batch Processes. Technometrics, 37(1), 41. doi:10.2307/1269152

Aguado, D., Ferrer, A., Ferrer, J., & Seco, A. (2007). Multivariate SPC of a sequencing batch reactor for wastewater treatment. Chemometrics and Intelligent Laboratory Systems, 85(1), 82-93. doi:10.1016/j.chemolab.2006.05.003

Camacho, J., Picó, J., & Ferrer, A. (2008). Multi-phase analysis framework for handling batch process data. Journal of Chemometrics, 22(11-12), 632-643. doi:10.1002/cem.1151

Kourti, T. (2003). Multivariate dynamic data modeling for analysis and statistical process control of batch processes, start-ups and grade transitions. Journal of Chemometrics, 17(1), 93-109. doi:10.1002/cem.778

Kourti, T. (2003). Abnormal situation detection, three-way data and projection methods; robust data archiving and modeling for industrial applications. Annual Reviews in Control, 27(2), 131-139. doi:10.1016/j.arcontrol.2003.10.004

González-Martínez, J. M., Ferrer, A., & Westerhuis, J. A. (2011). Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping. Chemometrics and Intelligent Laboratory Systems, 105(2), 195-206. doi:10.1016/j.chemolab.2011.01.003

Ramsay, J. O., & Silverman, B. W. (Eds.). (2002). Applied Functional Data Analysis: Methods and Case Studies. Springer Series in Statistics. doi:10.1007/b98886

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