On this basis, a design method of an optimal vector compandor with least mean square error criterion is derived.
本文由此出发，导出在最小均方误差意义下的最佳矢量压扩量化设计。
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.
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。
Estimation of GM (1, 1) model parameter usually adopts the least square criterion, but test of model precision often USES average relative error criterion.
估计GM(1,1)模型中的参数通常采用最小二乘准则，而在模型精度检验时又常采用平均相对误差。
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