摘要
基于作者曾提出的处理非随机删失数据的迭代算法,针对Weibull分布相同定时截尾型试验数据,通过改变数据的填补方式,在保证由算法所得的参数估计的相合性和不变性的前提下,使得改进后的算法所得的虚拟完全数据更接近于真实的完全数据.模拟研究表明,对于删失数据情形下可靠度的区间估计问题,改进后的算法更加精确.
Based on the iteration algorithm which is proposed to deal with non-random censoring data in past paper, the data-filling method is modified so that the virtual complete data obtained from the algorithm is much closer to the real complete data in the case of Weibull distribution under type Ⅰ censoring data. The simulation result shows that this algorithm is superior to the algorithm in past paper for interval estimator of reliability under censoring data.
出处
《系统科学与数学》
CSCD
北大核心
2008年第6期662-668,共7页
Journal of Systems Science and Mathematical Sciences
基金
中国科学院国防科技创新基金资助
关键词
矩不变准则
非随机删失
不变性
相合性
区间估计
Moment invariance criterion, non-random censoring data, invariability, consistency, interval estemator
