in this paper a novel process monitoring scheme for reducing the type і and type іі error rates in the monitoring phase is proposed. first, the proposed approach uses an augmented data matrix to implement the process dynamic. then, we apply independent component analysis (ica) transformation to the augmented data matrix, and eliminate the outliers using the local outlier factor (lof) algorithm....

Data can be assumed to continuous functions defined on an infinite-dimensional space for many phenomena. However, the data might driven by a small number of latent variables. Hence, factor models are relevant functional data. In this paper, we study time-dependent We propose nonparametric estimators under stationary and nonstationary processes. obtain that consider time-dependence property. Spe...