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https://hdl.handle.net/10316/80928| Title: | A new class of boundary kernels for distribution function estimation | Authors: | Tenreiro, Carlos | Keywords: | Distribution function estimation; kernel estimator; boundary kernels | Issue Date: | 2018 | Publisher: | Taylor & Francis | Project: | CMUC-UID/MAT/00324/2013 | metadata.degois.publication.title: | Communications in Statistics - Theory and Methods | metadata.degois.publication.volume: | 47 | metadata.degois.publication.issue: | 21 | Abstract: | In this note we introduce a new class of boundary kernels for distribution function estimation which shows itself to be especially performing when the classical kernel distribution function estimator suffers from severe boundary problems. | URI: | https://hdl.handle.net/10316/80928 | DOI: | 10.1080/03610926.2017.1390131 | Rights: | openAccess |
| Appears in Collections: | I&D CMUC - Artigos em Revistas Internacionais |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| onbk-author's version.pdf | 234.91 kB | Adobe PDF | View/Open |
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