Partially linear regression models with fixed effects are useful tools for making econometric analyses and normalizing microarray data. Baltagi and Li (2002) [7] proposed a computation friendly difference-based series estimation (DSE) for them. We show that the DSE is not asymptotically...

In this paper we develop wavelet methods for detecting and estimating jumps and cusps in the mean function of a non-parametric regression model. An important characteristic of the model considered here is that it allows for conditional heteroscedastic variance, a feature frequently encountered...

Some almost sure representations are obtained for the TJW product-limit estimator of a distribution function when the data are subject to random left-truncation and right-censorship. These results extend the theorems of Stute (1993) which were obtained for purely truncated data.

In this paper an asymptotic distribution is obtained for the maximal deviation between the kernel density estimator and the density when the data are subject to random left truncation and right censorship. Based on this result we propose a fully sequential procedure for constructing a...

Comparison of two samples can sometimes be conducted on the basis of analysis of receiver operating characteristic (ROC) curves. A variety of methods of point estimation and confidence intervals for ROC curves have been proposed and well studied. We develop smoothed empirical likelihood-based...