Manuel Febrero Bande
Manuel Febrero Bande
Full Professor of Statistics, University of Santiago de Compostela
Verified email at - Homepage
Cited by
Cited by
An anova test for functional data
A Cuevas, M Febrero, R Fraiman
Computational statistics & data analysis 47 (1), 111-122, 2004
Statistical computing in functional data analysis: The R package fda. usc
M Febrero-Bande, MO de la Fuente
Journal of statistical Software 51, 1-28, 2012
Robust estimation and classification for functional data via projection-based depth notions
A Cuevas, M Febrero, R Fraiman
Computational Statistics 22 (3), 481-496, 2007
Outlier detection in functional data by depth measures, with application to identify abnormal NOx levels
M Febrero, P Galeano, W González‐Manteiga
Environmetrics: The official journal of the International Environmetrics …, 2008
On the use of the bootstrap for estimating functions with functional data
A Cuevas, M Febrero, R Fraiman
Computational statistics & data analysis 51 (2), 1063-1074, 2006
Linear functional regression: the case of fixed design and functional response
A Cuevas, M Febrero, R Fraiman
Canadian Journal of Statistics 30 (2), 285-300, 2002
An extensive experimental survey of regression methods
M Fernández-Delgado, MS Sirsat, E Cernadas, S Alawadi, S Barro, ...
Neural Networks 111, 11-34, 2019
Cluster analysis: a further approach based on density estimation
A Cuevas, M Febrero, R Fraiman
Computational statistics & data analysis 36 (4), 441-459, 2001
Modelling of the monthly and daily behaviour of the runoff of the Xallas river using Box–Jenkins and neural networks methods
M Castellano-Méndez, W González-Manteiga, M Febrero-Bande, ...
Journal of hydrology 296 (1-4), 38-58, 2004
Estimating the number of clusters
A Cuevas, M Febrero, R Fraiman
Canadian Journal of Statistics 28 (2), 367-382, 2000
A simple multiway ANOVA for functional data
JA Cuesta-Albertos, M Febrero-Bande
Test 19 (3), 537-557, 2010
A functional analysis of NOx levels: location and scale estimation and outlier detection
M Febrero, P Galeano, W González-Manteiga
Computational Statistics 22 (3), 411-427, 2007
Functional principal component regression and functional partial least‐squares regression: An overview and a comparative study
M Febrero‐Bande, P Galeano, W González‐Manteiga
International Statistical Review 85 (1), 61-83, 2017
Generalized additive models for functional data
M Febrero-Bande, W González-Manteiga
Test 22, 278-292, 2013
A goodness-of-fit test for the functional linear model with scalar response
E García-Portugués, W González-Manteiga, M Febrero-Bande
Journal of Computational and Graphical Statistics 23 (3), 761-778, 2014
Flexible spatio-temporal stationary variogram models
R Fernández-Casal, W González-Manteiga, M Febrero-Bande
Statistics and Computing 13, 127-136, 2003
Nonparametric kernel estimation of an isotropic variogram
PH Garcı́a-Soidán, M Febrero-Bande, W González-Manteiga
Journal of Statistical Planning and Inference 121 (1), 65-92, 2004
Predicting using box—jenkins, nonparametric, and bootstrap techniques
I García-Jurado, W González-Manteiga, JM Prada-Sánchez, ...
Technometrics 37 (3), 303-310, 1995
Flexible regression models for estimating postmortem interval (PMI) in forensic medicine
JI Munoz Barus, M Febrero‐Bande, C Cadarso‐Suárez
Statistics in medicine 27 (24), 5026-5038, 2008
A reliable method for estimating the postmortem interval from the biochemistry of the vitreous humor, temperature and body weight
C Cordeiro, L Ordóñez-Mayán, E Lendoiro, M Febrero-Bande, DN Vieira, ...
Forensic science international 295, 157-168, 2019
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