TY  - GEN 
AU  - Ocaña Lara, Francisco Antonio
AU  - Aguilera Del Pino, Ana María
AU  - Escabias Machuca, Manuel
PY  - 2007
UR  - http://hdl.handle.net/10481/72993
AB  - Computing estimates in functional principal component analysis
(FPCA) from discrete data is usually based on the approximation of sample
curves in terms of a basis (splines, wavelets, trigonometric functions, etc.) and
a geometrical structure in...
LA  - eng
PB  - Springer
KW  - Functional data analysis
KW  - Hilbert spaces
KW  - Principal components
KW  - Covariance estimation
KW  - Orthogonal projection
TI  - Computational considerations in functional principal component analysis
DO  - https://doi.org/10.1007/s00180-007-0051-2
ER  -