𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Principal components analysis of nonstationary time series data

✍ Scribed by Joseph Ryan G. Lansangan; Erniel B. Barrios


Publisher
Springer US
Year
2008
Tongue
English
Weight
623 KB
Volume
19
Category
Article
ISSN
0960-3174

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Functional principal component analysis
✍ Roberto Viviani; Georg GrΓΆn; Manfred Spitzer πŸ“‚ Article πŸ“… 2004 πŸ› John Wiley and Sons 🌐 English βš– 903 KB

## Abstract We describe a principal component analysis (PCA) method for functional magnetic resonance imaging (fMRI) data based on functional data analysis, an advanced nonparametric approach. The data delivered by the fMRI scans are viewed as continuous functions of time sampled at the interscan i

Comparison of rainfall time series over
✍ Harrison, M. S. J. πŸ“‚ Article πŸ“… 1984 πŸ› Wiley (John Wiley & Sons) βš– 238 KB

Time series (scores) of rainfall from cloud bands across South Africa, generated through S-mode principal component analysis, are compared with equivalent estimated time series developed from satellite imagery and surface data. The cloud bands, which link the tropical and temperate circulations, acc