supported by the Natural Science Foundation of China(10771017,10971015,10231030);Key Project to Ministry of Education of the People’s Republic of China(309007)
In this article, we use penalized spline to estimate the hazard function from a set of censored failure time data. A new approach to estimate the amount of smoothing is provided. Under regularity conditions we establi...
Supported by the National Natural Science Foundation of China(No.10771017,No.10231030) ;the Key Project of Ministry of Education(No.309007)
This paper mainly introduces the method of empirical likelihood and its applications on two different models. We discuss the empirical likelihood inference on fixed-effect parameter in mixed-effects model with error-i...
Supported by the National Natural Science Foundation of China(No.10771017,No.10231030);Key Project of Ministry of Education,PRC(No.309007)
This article considers a semiparametric varying-coefficient partially linear regression model with current status data. The semiparametric varying-coefficient partially linear regression model which is a generalizatio...
This work was partially supported by the National Natural Science Foundation of China (Grant No. 10231030);the Excellent Young Teacher Foundation of Education Ministry of China and University of Illinois Campus Research Board and by NSF Award SBR-9617278 and DMS-0102411
Regression splines are often used for fitting nonparametric functions, and they work especially well for additivity models. In this paper, we consider two simple tests of additivity: an adaptation of Tukey’s one degr...
The project partly supported by the Key Project of NSFC(No:10231030);Scientific Research Foundation for Return Overseas Chinese Scholars,State Ministry of Education.
Mukerjee and Wu(2001) employed projective geometry theory to find the wordlength pattern of a regular mixed factorial design in terms of its complementary set, but only for the numbers of words of length 3 or 4. In ...
This research is supported by the National Natural Science Foundation of China (Grant No. 10371012, 10231030,and 40574020).
A class of robust location estimators called weighted randomly trimmed means are introduced and not only their consistency and asymptotic normality are proved, but their influence functions, asymptotic variances and b...