Mass recentred kernel smoothers
The local linear smoother usually gives better performance than the Nadaraya-Watson smoother. An exception is the case of data sparsity. Here we discuss a modification of the Nadaraya-Watson smoother by Müller & Song (1993), based on a horizontal shift of the kernel weights towards the local ce...
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| Main Authors: | , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
01 December 1997
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| In: |
Biometrika
Year: 1997, Volume: 84, Issue: 4, Pages: 765-777 |
| ISSN: | 1464-3510 |
| DOI: | 10.1093/biomet/84.4.765 |
| Online Access: | Verlag, Volltext: http://dx.doi.org/10.1093/biomet/84.4.765 Verlag, Volltext: https://academic.oup.com/biomet/article/84/4/765/264313 
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| Author Notes: | E. Mammen, J.S. Marron |
| Summary: | The local linear smoother usually gives better performance than the Nadaraya-Watson smoother. An exception is the case of data sparsity. Here we discuss a modification of the Nadaraya-Watson smoother by Müller & Song (1993), based on a horizontal shift of the kernel weights towards the local centre of mass of the design points. This gives performance similar to the local linear when that works well and better performance when it does not. The new smoother also preserves monotonicity. Shifting towards the centre of mass is also used to develop a modified kernel density estimate which cancels the well-known peak spreading effect. |
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| Item Description: | Gesehen am 13.02.2018 |
| Physical Description: | Online Resource |
| ISSN: | 1464-3510 |
| DOI: | 10.1093/biomet/84.4.765 |