RT Journal Article
T1 Weighted nonparametric regression
A1 Río Bueno, Manuel del
A1 Delicado, Pedro
AB In the fixed design regression model, additional weights are considered for the Nadaraya-Watson and Gasser-Muller kernel estimators. We study their asymptotic behavior and the relationships between new and classical estimators. For a simple family of weights, and considering the AIMSE as global loss criterion, we show some possible theoretical advantages. An empirical study illustrates the performance of the weighted kernel estimators in theoretical ideal situations and in simulated data sets. Also some results concerning the use of weights for local polynomial estimators are given.
PB Taylor & Francis
SN 0361-0926
YR 1997
FD 1997
LK https://hdl.handle.net/20.500.14352/57793
UL https://hdl.handle.net/20.500.14352/57793
DS Docta Complutense
RD 7 abr 2025