若以均方误差作度量估计优劣的标准，模拟显示当误差相关程度较高时，新估计优于文献中常见的矩估计。
Our simulation results show that for high errors correlation case, new estimate is superior over the moment estimate appeared in literature under mean square error criterion.
统计量的标准误差表示该统计量作为总体参数的估计的准确程度。
The standard error of a statistic provides an indication of how accurate an estimate it is of the population parameter .
仿真和实际数据处理的结果表明，该方法在参数估计误差和标准差方面明显优于其它算法。
The results of simulated and real data procession show that the proposed method favorably compares to other ones as to the parameter estimation error and its standard deviation.
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