Efficiency behaviour of kernel-smoothed kernel distribution function estimators
| dc.contributor.author | Janssen, Paul | |
| dc.contributor.author | Swanepoel, Jan W.H. | |
| dc.contributor.author | Veraverbeke, Noël | |
| dc.contributor.researchID | 10177507 - Swanepoel, Jan Willem Hendrik | |
| dc.contributor.researchID | 22051880 - Veraverbeke, Noël Daniel | |
| dc.date.accessioned | 2020-04-20T10:18:08Z | |
| dc.date.available | 2020-04-20T10:18:08Z | |
| dc.date.issued | 2020 | |
| dc.description.abstract | The asymptotic mean integrated squared error (AMISE) and the kernel efficiency (KE) of kernel distribution function estimators are well studied. In this note we define new nonparametric distribution function estimators by kernel-smoothing an initial kernel distribution function estimator. We show that, under certain conditions, the AMISE and the KE can be improved. A concrete example and a Monte Carlo simulation are worked out for illustration | en_US |
| dc.identifier.citation | Janssen, P. et al. 2020. Efficiency behaviour of kernel-smoothed kernel distribution function estimators. South African statistical journal, 54(1):15-23. [https://doi.org/10.37920/sasj.2020.54.1.2] | en_US |
| dc.identifier.issn | 0038-271X | |
| dc.identifier.uri | http://hdl.handle.net/10394/34568 | |
| dc.identifier.uri | https://hdl.handle.net/10520/EJC-1c22a4395a | |
| dc.identifier.uri | https://doi.org/10.37920/sasj.2020.54.1.2 | |
| dc.language.iso | en | en_US |
| dc.publisher | SASA | en_US |
| dc.subject | Asymptotic mean integrated squared error | en_US |
| dc.subject | Kernel distribution function estimator | en_US |
| dc.subject | Kernel efficiency | en_US |
| dc.title | Efficiency behaviour of kernel-smoothed kernel distribution function estimators | en_US |
| dc.type | Article | en_US |
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