渐进分布图 progressive area
In this case, we first estimate parameter by ML, then find proper statistic variables and prove the existence of its asymptotic distribution. Furthermore, a statistic variable distribution table, presented via Monte Carlo method, is suggested applying to testing of parameters.
针对此情形下的CEV模型,本文用最大似然法估计其参数,找到了合适的统计量并证明其渐进分布的存在,最后通过蒙特卡洛方法求出该统计量的分布表,并建议以此方法来进行参数的检验。
参考来源 - CEV模型的参数估计及检验方法——基于单位根假设被接受的情形·2,447,543篇论文数据，部分数据来源于NoteExpress
证明了此统计量是渐近正态的，并利用蒙特卡罗方法对统计量的渐进分布做了统计模拟。
It is proved that the statistics is asymptotic normality, and simulation of the statistics's asymptotic distribution is carried out with Monte Carlo method.
证明了此统计量是渐近正态的，并利用蒙特卡罗方法对统计量的渐进分布做了统计模拟。
Under the normal distribution, the maximum likelihood estimator for the population parameter is proved to be unbiased and asymptotically normal.
通用的分布式控制的第二个重要方面在于控制的分类聚合必须从底部开始渐进累加。
The second important aspect of generic distributed control is that the chunking of control must be done incrementally from the bottom.
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