Multivariate process variability monitoring for general sample design
In multivariate setting, from time to time, process variability is summarized and numerically represented as a covariance matrix, say S. It is generally measured as a non-negative real valued function of S such that the more scattered the population, the larger the value of the function and vice ver...
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Main Author: | Sagadavan, Revathi |
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Format: | Thesis |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/78497/1/RevathiSagadavanPFS2016.pdf |
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