mean-square error

基本解释

The region mean square errors(MSE) are used to measure the spatial-domain complexity of MB types and a prediction rule for the MB types is set down consequently.
提出了采用区域方差来度量宏块编码类型的空域复杂性，并根据宏块的这些空域复杂性制定出宏块类型预测的准则。
Nevertheless, the mean-square-root errors of fitting curves between model inversion and real structure are less than 2 except at individual point, which achieves better fit.
尽管如此，模型反演与真实结构的拟合曲线均方根误差除个别点外都小于2，达到了较好的拟合。
For the ratio estimate in two-stage sampling, the bias and mean square errors(MES) of the estimater value have been obtained, and the estimater value of the MSE has been given.
给出了二阶比估计量的偏差、估计量的均方误差以及均方误差的估计。