mean-square error

基本解釋

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.
提出了采用區(qū)域方差來度量宏塊編碼類型的空域復雜性，并根據宏塊的這些空域復雜性制定出宏塊類型預測的準則。
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.
盡管如此，模型反演與真實結構的擬合曲線均方根誤差除個別點外都小于2，達到了較好的擬合。
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.
給出了二階比估計量的偏差、估計量的均方誤差以及均方誤差的估計。