Based on several panel data unit root tests and confirmatory analysis,we re-analyze the stochastic convergence of Chinese provinces.
针对单个面板单位根检验结果具有多种可能含义的问题,本文基于多种面板单位根检验方法以及验证分析(confirmatory analysis)的思路,对改革开放以来我国各地区经济增长的随机收敛特性进行了再检验。
参考来源 - 中国地区增长是否存在收敛?——随机框架下的再讨论·2,447,543篇论文数据，部分数据来源于NoteExpress
The strong limit theorems on the arbitrary stochastic convergence for the harmonic mean of the random conditional probabilities in the random selection system is studied.
主要研究任意随机序列在随机选择系统中的随机条件概率其调和平均的强极限定理。
And then, we present an approximation method for solving this probabilistic constrained stochastic programming, and prove certain convergence of the method under some conditions.
随后我们提出了求解这类概率约束随机规划的一种近似算法，并在一定的条件下证明了算法的收敛性。
Here, general limiting behaviours are discussed when stochastic sequence has no convergence, some classical results are also improved.
本文讨论了随机序列不具有收敛性时的一般极限行为，一些经典的结果被改进。
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