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Río Bueno , Manuel del Delicado, Pedro 2023-06-20T09:44:05Z 2023-06-20T09:44:05Z 2003-02 1048-5252 10.1080/1048525031000074523 https://hdl.handle.net/20.500.14352/50269 http://www.econ.upf.edu/ca/recerca/paper.php?id=422 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. metadata only access A generalization of histogram type estimators journal article