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Refined instrumental variable methods of recursive time-series analysis Part II. Multivariable systems

✍ Scribed by JAKEMAN, ANTHONY; YOUNG, PETER


Book ID
111890939
Publisher
Taylor and Francis Group
Year
1979
Tongue
English
Weight
663 KB
Volume
29
Category
Article
ISSN
0020-7179

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Multivariate process and quality monitor
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Multivariate time series analysis is applied to understand and model the dynamics of an electrolytic process manufacturing copper. Here, eight metal impurities were measured, twice daily, over a period of one year, to characterize the quality of Ε½ . the copper. In the data analysis, these eight vari