The genetic study of certain quantitative traits in growth curves as a function of time has recently been of major scientific interest to explore the developmental evolution processes of biological subjects. Various parametric approaches in the statistical literature have been proposed to study...

Life expectancy, i.e., mean residual life function, has been of important practical and scientific interests to characterise the distribution of residual life. Regression models are often needed to model the association between life expectancy and its covariates. In this article, we consider a...

A new class of local linear azard estimators based on weig ted least square kernel estimation is considered. The class includes the kernel Hazard estimator of Ramlau-Hansen (1983), which as tHe same boundary correction property as the local linear regression estimator (see Fan and Gijbels,...

Variable kernel hazard estimators are considered in the case, where the bandwidth is allowed to depend on the exposure. Simulations show, that when the exposure varies substantially, then this can improve the performance of the basic kernel smoother con-siderable. A two-stage approach for kernel...

Nielsen (1999) showed the surprising fact that a nonparametric one-dimensional hazard as a function of time can be estimated n-consistently if a high quality marker is observed. In this paper we show that the hazard relevant for predicting remaining duration time, given the current status of a...

This paper introduces a new bias reducing method for kernel hazard estimation. The method is called global polynomial adjustment (GPA). It is a global correction which is applicable to any kernel hazard estimator. The estimator works well from a theoretical point of view as it symptotically...