Maximum Partial Likelihood Estimation in Semiparametric Errors-in-covariables Models with Validation Data
In this paper, a method to handle error-in-variables models is presented. Kernel-based estimated partial likelihood is developed for estimating conditional density parameter. A simulation is conducted to illustrate the proposed method.
Partial Likelihood Conditional density estimation Validation Data
Yanli Cui
School of Mathematics and Informational Science,Yantai University
国际会议
The 5th International Congress on Mathematical Biology(第五届国际生物数学大会 ICMB 2011)
南京
英文
491-496
2011-06-01(万方平台首次上网日期,不代表论文的发表时间)