1) recurrent event
复发事件
1.
Marginal regression of multiple type recurrent event data is studied.
研究了多类复发事件数据的边际回归。
2.
In this article,we propose a general class of semiparametric rates models for recurrent event data,which includes the proportional rates model and a semiparametric additive rates model as special cases.
本文在复发事件数据下,研究了一个一般半参数比率回归模型中参数的估计问题,给出了该模型中未知参数和非参数函数的一种估计方法,并证明了这些估计的相合性和渐近正态性。
3.
An analysis is made based on three knowledge point including "streching of distribution function","interval of recurrent events",and "independence of binary random variables".
从分布函数的延伸、复发事件的等待时间、二元随机变量的独立性这3个知识点上展开这方面的探讨。
2) multiple type recurrent event
多类型复发事件
1.
In this paper, we propose a class of additive-multiplicative rates models for multiple type recurrent event data.
本文基于多类型复发事件数据,研究了半参数加性乘积比率回归模型的统计问题。
2.
In this article,we propose a new additive multiplicative rates models for multiple type recurrent event data.
本文基于多类型复发事件数据,讨论了一个新的加性乘积比率回归模型,该模型包括两部分,其中第一部分为可加Aalen模型,其中协变量影响为加性的且与时间有关。
4) repeatable event
重复事件
1.
This method also shows its advantage when dealing with models containing repeatable events.
应用关联矩阵法求有重复事件Petri网模型的最小割集简单明了。
5) compound event
复合事件
1.
Special research was made on how to use a Petri net to express compound event ECA rules,and an extended Petri net system was put forward.
对如何用Petri网表示具有复合事件ECA规则进行了专门分析。
6) Composite events
复合事件
1.
Via studying FA modeling of composite events,we give a perfect procedure of building FA Modeling of composite events.
通过对复合事件的自动机检测模型的研究,给出了构造事件表达式的自动机模型的完整过程。
2.
A Conditional Colored Petri Net model(CCPN) was proposed for composite events specification and detection.
采用条件着色PETRI网(CCPN)模型对ECA规则中的复合事件进行建模,进而通过检测复合变迁的使能状态和验证与该变迁相关联的条件,达到检测复合事件的目的。
补充资料：Behcet复发性疾病
Behcet复发性疾病
病名 。即眼-口-生殖器综合征。详见该条。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条