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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| Format: | article |
| Language: | eng |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10316/80928 |
| Country: | Portugal |
| Oai: | oai:estudogeral.sib.uc.pt:10316/80928 |
| Summary: | 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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