Multivariate statistical process control using mixture modelling
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[1] E. Parzen. On Estimation of a Probability Density Function and Mode , 1962 .
[2] G. Schwarz. Estimating the Dimension of a Model , 1978 .
[3] J. E. Jackson. A User's Guide to Principal Components , 1991 .
[4] Thomas E. Marlin,et al. Multivariate statistical monitoring of process operating performance , 1991 .
[5] Nola D. Tracy,et al. Multivariate Control Charts for Individual Observations , 1992 .
[6] A. Raftery,et al. Model-based Gaussian and non-Gaussian clustering , 1993 .
[7] J. Edward Jackson,et al. A User's Guide to Principal Components. , 1991 .
[8] Mark A. Kramer,et al. Probability density estimation using elliptical basis functions , 1994 .
[9] Theodora Kourti,et al. Process analysis, monitoring and diagnosis, using multivariate projection methods , 1995 .
[10] Gérard Govaert,et al. Gaussian parsimonious clustering models , 1995, Pattern Recognit..
[11] John F. MacGregor,et al. Multivariate SPC charts for monitoring batch processes , 1995 .
[12] A. J. Morris,et al. Non-parametric confidence bounds for process performance monitoring charts☆ , 1996 .
[13] S. D. Jong,et al. Multivariate statistical process control in chromatography , 1997 .
[14] Adrian E. Raftery,et al. How Many Clusters? Which Clustering Method? Answers Via Model-Based Cluster Analysis , 1998, Comput. J..
[15] Itziar Ruisánchez,et al. Reliability of analytical systems: use of control charts, time series models and recurrent neural networks (RNN) , 1998 .
[16] Junghui Chen,et al. Mixture Principal Component Analysis Models for Process Monitoring , 1999 .
[17] H. Mera,et al. High-Performance Fibers , 2000 .
[18] Geoffrey J. McLachlan,et al. Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.
[19] S. Picken,et al. Processing Rigid Polymers to High Performance Fibers , 2001 .
[20] Jose A. Romagnoli,et al. A robust strategy for real-time process monitoring , 2001 .
[21] Adrian E. Raftery,et al. Model-Based Clustering, Discriminant Analysis, and Density Estimation , 2002 .
[22] Adrian E. Raftery,et al. MCLUST: Software for Model-Based Clustering, Density Estimation and Discriminant Analysis , 2002 .
[23] Lutgarde M. C. Buydens,et al. Published online in Wiley InterScience (www.interscience.wiley.com). DOI: 10.1002/cem.721 Mixture modelling of medical magnetic resonance data , 2002 .
[24] J. Wade Davis,et al. Statistical Pattern Recognition , 2003, Technometrics.
[25] J. Edward Jackson,et al. A User's Guide to Principal Components: Jackson/User's Guide to Principal Components , 2004 .
[26] Jin Hyun Park,et al. Process monitoring using a Gaussian mixture model via principal component analysis and discriminant analysis , 2004, Comput. Chem. Eng..
[27] Jay H. Lee,et al. Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application , 2004, Comput. Chem. Eng..