【摘 要】
：
Research on quasi stationary distributions , is a very important research topic. When the sample size is not sufficiently large, the asymptotic results of t
【机 构】
：
SchoolofMathematics,ShandongUniversity,China
【出 处】
：
The 24th International Workshop on Matrices and Statistics(第
论文部分内容阅读
Research on quasi stationary distributions , is a very important research topic. When the sample size is not sufficiently large, the asymptotic results of the general parameter method, may not hold. The bootstrap method which is introduced to solve it, avoids this disadvantage. We give the approximation form of it, and study the approximation property. Simulations are presented to illustrate the method, using two examples, the method shows to be efficient when the small sample is presented. At last, an application in a pure-death chain is discussed, together with some results.
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