A general approach to handling missing values in Procrustes analysis
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Bibliographic InfoArticle provided by Springer in its journal Advances in Data Analysis and Classification.
Volume (Year): 4 (2010)
Issue (Month): 4 (December)
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Web page: http://www.springer.com/statistics/statistical+theory+and+methods/journal/11634
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- Kohei Adachi, 2013. "Generalized joint Procrustes analysis," Computational Statistics, Springer, vol. 28(6), pages 2449-2464, December.
- Michel Velden & Yoshio Takane, 2012. "Generalized canonical correlation analysis with missing values," Computational Statistics, Springer, vol. 27(3), pages 551-571, September.
- Albers, C.J. & Critchley, F. & Gower, J.C., 2011. "Applications of quadratic minimisation problems in statistics," Journal of Multivariate Analysis, Elsevier, vol. 102(3), pages 714-722, March.
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