节点文献
AN ALGORITHM FOR MAXIMUM LIKELIHOOD ESTIMATES TO SEMI-PARAMETRIC REGRESSION MODEL WITH INTERVAL CENSORED DATA
【摘要】 <正> In this paper we study the practical procedure for getting the maximum likelihood estimates in a semi-parametric regression model with interval censored data. On the basis of the on previous theoretical results, we give the detailed algorithms when there are one or two covariates in the model.
【Abstract】 In this paper we study the practical procedure for getting the maximum likelihood estimates in a semi-parametric regression model with interval censored data. On the basis of the on previous theoretical results, we give the detailed algorithms when there are one or two covariates in the model.
【关键词】 Interval censoring；
profile maximum likelihood method；
regression analysis；
reliability；
【Key words】 Interval censoring； profile maximum likelihood method； regression analysis； reliability；
【Key words】 Interval censoring； profile maximum likelihood method； regression analysis； reliability；
【基金】 This research is supported by the National Natural Science Foundation of China(10071004) and RFDP, ;Liping Liu was supported in part by the National Basic Research Program of China under Grant 2003CB716101.
- 【文献出处】 Journal of Systems Science and Complexity ,系统科学与复杂性学报(英文版) , 编辑部邮箱 ,2004年03期
- 【分类号】O211.6
- 【下载频次】33