Rankings and preferences : new results in weighted correlation and weighted principal component analysis with applications /
Joaquim Pinto da Costa.
- 1st ed. 2015.
- x, 91 páginas : 12 ilustraciones, 4 ilustraciones en color.
- SpringerBriefs in Statistics, 2191-544X .
Springer eBooks
Introduction -- The Weighted Rank Correlation Coefficient rW -- The Weighted Rank Correlation Coefficient rW2 -- A Weighted Principal Component Analysis, WPCA1: Application to Gene Expression Data -- A Weighted Principal Component Analysis (WPCA2) for Time Series Data -- Weighted Clustering of Time Series -- Appendix -- References.