理论分析和仿真结果都表明估计结果具有渐近无偏性和一致收敛性，该方法辨识精度高，具有良好的实用性。
The theory analysis and simulation results show that the estimation is asymptotically unbiased and has strong consistency, and that the new method is very efficient and practical.
利用基带数据的高阶矩特性，可以获得渐近无偏估计。
An unbiased estimator can be acquired through high order moments of received data.
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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