RT Journal Article
T1 Averaged Singular Integral Estimation as a Bias Reduction Technique
A1 Delgado, Miguel A.
A1 Vidal-Sanz, Jose M.
AB This paper proposes an averaged version of singular integral estimators, whose bias achieves higher rates of convergence under smoothing assumptions. We derive exact bias bounds, without imposing smoothing assumptions, which are a basis for deriving the rates of convergence under differentiability assumptions.
PB Elsevier
SN 0047-259X
YR 2002
FD 2002
LK https://hdl.handle.net/10016/2453
UL https://hdl.handle.net/10016/2453
LA eng
LA eng
DS e-Archivo
RD 5 may. 2024