我们还将尝试改进逐路径估计量，以求减小标准误差。
We also try to improve pathwise estimator in order to reduce standard error.
在误差为AR(1)时间序列的情形下，给出了半参数回归模型的拟极大似然估计方程，并研究了拟极大似然估计量的存在性。
When errors is a ar (1) time series, we studied the quasi-likelihood equation for the semiparametric model, and investigated the existence of quasi-maximum likelihood estimators.
这种方法对反射系数的估计量具有最小误差方差的性质。
The estimator got from this algorithm has the smallest variance of error among all linear estimators of reflection coefficients.
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