RT Journal Article
T1 A generalization of histogram type estimators
A1 Río Bueno, Manuel del
A1 Delicado, Pedro
AB We introduce nonparametric density estimators that generalize the classical histogram and frequency polygon. The new estimators are expressed as linear combinations of density functions that are piecewise polynomials, where the coefficients are optimally chosen in order to minimize an approximate version of the integrated square error of the estimator. We establish the asymptotic behaviour of the proposed estimators, and study their performance in a simulation study.
PB American Statistical Association
SN 1048-5252
YR 2003
FD 2003-02
LK https://hdl.handle.net/20.500.14352/50269
UL https://hdl.handle.net/20.500.14352/50269
DS Docta Complutense
RD 9 abr 2025