SiZer for Censored Density and Hazard Estimation
Methodology
2008-12-18 v1 Statistics Theory
Statistics Theory
Abstract
The SiZer method is extended to nonparametric hazard estimation and also to censored density and hazard estimation. The new method allows quick, visual statistical inference about the important issue of statistically significant increases and decreases in the smooth curve estimate. This extension has required the opening of a new avenue of research on the interface between statistical inference and scale space.
Cite
@article{arxiv.0806.1578,
title = {SiZer for Censored Density and Hazard Estimation},
author = {Jiancheng Jiang and J. S. Marron},
journal= {arXiv preprint arXiv:0806.1578},
year = {2008}
}
Comments
Submitted to the Electronic Journal of Statistics (http://www.i-journals.org/ejs/) by the Institute of Mathematical Statistics (http://www.imstat.org)