Cargando…
A Berry-Esseen type bound for the kernel density estimator based on a weakly dependent and randomly left truncated data
In many applications, the available data come from a sampling scheme that causes loss of information in terms of left truncation. In some cases, in addition to left truncation, the data are weakly dependent. In this paper we are interested in deriving the asymptotic normality as well as a Berry-Esse...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2017
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5209448/ https://www.ncbi.nlm.nih.gov/pubmed/28111501 http://dx.doi.org/10.1186/s13660-016-1272-0 |