A general approach to handling missing values in Procrustes analysis

Advances in Data Analysis and Classification

Volumn 4, Issue 4, 2010, Pages 223-237

  Albers, Casper J ^a   Gower, John C ^b  

^a UNIVERSITY OF GRONINGEN   (Netherlands)

^b OPEN UNIVERSITY   (United Kingdom)

Author keywords

Constrained optimisation; Missing value estimation; Procrustes analysis

Indexed keywords

AUTOCORRELATION; OPTIMIZATION;

CONFIGURATION MATRICES; GENERAL APPROACH; HANDLING MISSING VALUES; MISSING VALUE ESTIMATION; OPTIMISATIONS; PROCRUSTES ANALYSIS; STANDARDISATION;

LINEAR TRANSFORMATIONS;

EID: 78650037821     PISSN: 18625347     EISSN: 18625355     Source Type: Journal    
DOI: 10.1007/s11634-010-0077-0     Document Type: Article

References (6)

1. Albers CJ (2008) Some quadratic optimisation problems in psychometrics. In: Shigemasu K (ed) New trends in psychometrics. Universal Academic Press, Tokyo, pp 1-6.
2. Albers CJ, Critchley F, Gower JC (2010) Quadratic minimisation problems in statistics. J Multivariate Anal. doi: 10. 1016/j. jmva. 2009. 12. 018.
3. Albers CJ, Critchley F, Gower JC (2010) Explicit minimisation of a convex quadratic under a quadratic constraint (In preparation).
4. Commandeur JJF (1991) Matching configurations. DSWO Press, Leiden.
5. Gower JC, Dijksterhuis GB (2004) Procrustes problems. Oxford Statistical Science Series 30. University Press, Oxford.
6. ten Berge JMF, Kiers HAL, Commandeur JJF (1993) Orthogonal Procrustes rotation for matrices with missing values. Br J Math Stat Psychol 46(1): 119-134.