Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/85225
Authors: 
Beran, Jan
Feng, Yuanhua
Heiler, Siegfried
Year of Publication: 
2000
Series/Report no.: 
CoFE Discussion Paper 00/37
Abstract: 
In this paper a modified double smoothing bandwidth selector,MDS , based on a new criterion, which combines the plug-in and the double smoothing ideas, is proposed. A self-complete iterative double smoothing rule (_IDS ) is introduced as a pilot method. The asymptotic properties of both_IDS and_MDS are investigated. It is shown thath MDS performs asymptotically very well. Moreover, it is asymptotically negatively correlated with h ASE , the minimizer of the averaged squared error. The asymptotic performances of_MDS and of the iterative plug-in method,_IPL (Gasser et al., 1991) are compared. A comparative simulation study is carried out to show the practical perfor- mance of_MDS and related methods. It is shown that_MDS seems to be the best in the practice. Finite sample negative correlations between the chosen bandwidth selectors and h ASE are also studied.
Persistent Identifier of the first edition: 
Document Type: 
Working Paper

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