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Wiley Interdisciplinary Reviews:
Computational Statistics
Volume 11 Issue 3 (May 2019)
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Factor analysis: Latent variable, matrix decomposition, and constrained uniqueness formulations
Published Online: Mar 19 2019
DOI: 10.1002/wics.1458
Factor analysis (FA) aims to explain p variables by m common factors and p unique factors with p > m. It is illustrated above with p = 5 and m = 2. FA can be classified into three types. How they differ is elucidated and their algorithms are specified.
Abstract Full article on Wiley Online Library:   HTML | PDF
Distance‐based clustering of mixed data
Published Online: Nov 05 2018
DOI: 10.1002/wics.1456
An example of mixed data clustering.
Abstract Full article on Wiley Online Library:   HTML | PDF

Focus Article

The Akaike information criterion: Background, derivation, properties, application, interpretation, and refinements
Published Online: Mar 14 2019
DOI: 10.1002/wics.1460
Hirotugu Akaike (November 5, 1927 to August 4, 2009)
Abstract Full article on Wiley Online Library:   HTML | PDF

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