TY  - GEN 
AU  - Acal González, Christian José
AU  - Aguilera Del Pino, Ana María
AU  - Escabias Machuca, Manuel
PY  - 2020
UR  - http://hdl.handle.net/10481/66088
AB  - Functional Principal Component Analysis (FPCA) is an important dimension reduction
technique to interpret themainmodes of functional data variation in terms of a small set of uncorrelated
variables. The principal components can not always be simply...
LA  - eng
PB  - Mdpi
KW  - Functional data analysis
KW  - Functional principal components
KW  - Varimax rotation
KW  - B-splines
KW  - COVID-19
TI  - New Modeling Approaches Based on Varimax Rotation of Functional Principal Components
DO  - 10.3390/math8112085
ER  -