| Автор | Bowman, Adrian W. |
| Дата выпуска | 1985 |
| dc.description | Some practical approaches to the problem of choosing parameters which control the smoothness of kernel-based density estimators are investigated. Fixed and variable kernels are considered, and particularly simple approaches are investigated in the latter case. The performances of a wide range of estimators are compared in a simulation study. |
| Формат | application.pdf |
| Издатель | Gordon and Breach Science Publishers |
| Копирайт | Copyright Taylor and Francis Group, LLC |
| Тема | Cross-validation |
| Тема | density estimation |
| Тема | kernels |
| Тема | nearest neighbour |
| Тема | smoothing |
| Тема | variable kernels |
| Название | A comparative study of some kernel-based nonparametric density estimators |
| Тип | research-article |
| DOI | 10.1080/00949658508810822 |
| Electronic ISSN | 1563-5163 |
| Print ISSN | 0094-9655 |
| Журнал | Journal of Statistical Computation and Simulation |
| Том | 21 |
| Первая страница | 313 |
| Последняя страница | 327 |
| Аффилиация | Bowman, Adrian W.; Statistical Laboratory, Department of Mathematics, University of Manchester |
| Выпуск | 3-4 |
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