approximating normal distribution meaning in Chinese

近似正态分布

In first chapter , we define the first stage estimators for 0 and g by using kernel weight function , least square and two stage estimation under the additivity of the model , and then the paper proves that is the consistency and the approximate normal distribution , and is the consistency and the uniform consistency
第一章首先综合核函数法，最小二乘法，基于模型的可加性，利用二阶段估计的方法求出， g的第一阶段估计量，然后证明了的强相合性与渐近正态性， g _ n ~ *的强相合性和一致强相合性。
In second chapter , we obtain the second stage estimators for 0 and g with the first stage estimators by using generated least square th at is used in ev model . the second stage estimators are better than the first stage ones concerning variance , and meantime the paper proves that is the consistencey and the approximate normal distribution and gn is the consistency and the uniform consistency
第二章首先在第一阶段估计的基础上，针对ev模型利用广义最小二乘法求出， g的第二阶段估计，这样从误差方差的角度来考虑，第二阶段估计结果比第一阶段估计结果改进了一步。