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Identification of a single-factor model using graphical Gaussian rules. (English) Zbl 0883.62061

Summary: We state a sufficient condition for the global identification of a single-factor model when some conditional associations among residuals are allowed. The condition relies on the structure of the conditional independence graph of the observed variable given the latent factor, and can be derived using graphical rules.

MSC:

62H25 Factor analysis and principal components; correspondence analysis
62H99 Multivariate analysis
62A09 Graphical methods in statistics
05C90 Applications of graph theory
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