Under some regular conditions, a proposed estimator is proved to be asymptotically normal and convergent rate. 在一些正则条件下证明了该估计量的渐近正态(AN)性,同时给出估计量的收敛速度。
Under the normal distribution, the maximum likelihood estimator for the population parameter is proved to be unbiased and asymptotically normal. 证明了此统计量是渐近正态(AN)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。
Best asymptotically normal estimator 最佳渐近正规估计量
Consistent uniformly asymptotically normal estimator 相容一致渐近正态(AN)估计量
Enumerative Units and Quantity Scales : Discussing the Functional Types of Noun-Quantifiers; asymptotically normal and unbiased estimator 计数和计量&兼论名量词的功能类别渐近正态(AN)无偏估计量