About this document
Manuscript by Boukeloua Mohamed is a document available to read on EtoBox.
The document discusses the extension of mean square convergence rates for kernel estimators in a twice censored data context. It builds on previous works to derive convergence rates for density and failure rate estimators under specific conditions. The findings demonstrate that the convergence rates align with those established for complete and right censored data, under weaker assumptions on the density function.
- Author
- Boukeloua Mohamed
- Language
- EN