Visualizing Principal Components Analysis for Multivariate Process Data

• Autores: Soren Bisgaard, Xuan Huang
• Localización: Journal of quality technology: A quarterly journal of methods applications and related topics, ISSN 0022-4065, Vol. 40, Nº. 3, 2008, págs. 299-309
• Idioma: inglés
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• Resumen

  • A simple method is proposed for visualizing the results of principal components analysis (PCA) used to supplement existing graphical methods for multivariate time series data applicable for process analysis and control. The intent is to visualize multivariate data as a flat surface that can be broken down with PCA. These surface plots are developed for statistical process analysis, but may be used to visualize economic data and cointegration, in particular.