n b b X X = ( ) 1 , for all n C q q a q 纬 - 蜵 P 21 渐近正态性 如果满足 则该估计是渐近正态的(asymptotically normal)。 如果一个估计是渐近正态的,可以比较方便 地得到其置信区间。
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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.
并且证明了在正态分布的假设下,该总体平均因果效应的极大似然估计是相合无偏且渐近正态的。
The maximum likelihood estimator for population average treatment effect is proved to be consistent, unbiased and asymptotically normal.
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