Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/61751 
Authors: 
Year of Publication: 
1999
Series/Report no.: 
SFB 373 Discussion Paper No. 1999,6
Publisher: 
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes, Berlin
Abstract: 
For the problems of nonparametric estimation of nonincreasing and symmetric unimodal density functions with bounded supports we determine the projections of estimates onto the convex families of possible parent densities with respect to the weighted integrated squared error. We also describe the method of approximating the analogous projections onto the respective density classes satisfying some general moment conditions. The method of projections reduces the estimation errors for all possible values of observations of a given finite sample size in a uniformly optimal way and provides estimates sharing the properties of the parent densities.
Subjects: 
error reduction
Nonparametric density estimation
monotone density
symmetric unimodal density
weighted integrated squared error
projection
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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