한국데이터정보과학회:학술대회논문집
- 2006.11a
- /
- Pages.49-50
- /
- 2006
A Nonparametric Additive Risk Model Based On Splines
Abstract
We consider a nonparametric additive risk model that are based on splines. This model consists of both purely and smoothly nonparametric components. As an estimation method of this model, we use the weighted least square estimation by Huffer and McKeague (1991). We provide an illustrative example as well as a simulation study that compares the performance of our method with the ordinary least square method.