Maximum likelihood principal component a
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Peter D. Wentzell; Darren T. Andrews; David C. Hamilton; Klaas Faber; Bruce R. K
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Article
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1997
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John Wiley and Sons
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English
β 334 KB
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The theoretical principles and practical implementation of a new method for multivariate data analysis, maximum likelihood principal component analysis (MLPCA), are described. MLCPA is an analog to principal component analysis (PCA) that incorporates information about measurement errors to develop P