Zhou's research was partially supported by the National Natural Science Foundation of China(No.10471140,10571169)
A partially linear regression model with heteroscedastic and/or serially correlated errors is studied here. It is well known that in order to apply the semiparametric least squares estimation (SLSE) to make statisti...
Supported by the National Natural Science Foundation of China (No.10471140).
In this paper we introduce an appealing nonparametric method for estimating variance and conditional variance functions in generalized linear models (GLMs), when designs are fixed points and random variables respect...
Zhou's research was partially supported by the NNSF of China (10471140, 10571169);Wu's research was partially supported by NNSF of China (0571170)
A kernel-type estimator of the quantile function Q(p) = inf{t:F(t) ≥ p}, 0 ≤ p ≤ 1, is proposed based on the kernel smoother when the data are subjected to random truncation. The Bahadur-type representations o...
This research is supported by National Natural Science Foundation of China(10471140 and 10571169).
In this paper we study semiparametric estimators of the survival function and the cumulative hazard function based on left truncated and right censored data. Weak representations of the two estimators are derived, whi...
Supported by the National Natural Science Foundation of China (No. 10471140);Science Foundation of HUBEI (98j081);Scientific Research Great Project of Education Department of HUBEI (2002Z04001).supported by grants from Research Grants Council of
Many survival studies record the times to two or more distinct failures oneach subject. The failures may be events of different natures or may be repetitions of the same kindof event. In this article, we consider the ...
Supported by the National Natural Science Foundation of China (No.10471140)
In this paper an asymptotic distribution is obtained for the maximaldeviation between the kernel quantile density estimator and the quantile density when the data aresubject to random left truncation and right censors...