A new class of boundary kernels for distribution function estimation
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.
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| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2018
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/10316/80928 |
| País: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/80928 |
| Resumo: | 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. |
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