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均方誤英文怎麼說

均方誤 的英文翻譯

均方誤 英文 mean square error 均 : Ⅰ形容詞(均勻) equal; even Ⅱ副詞(都; 全) without exception; all 方 : Ⅰ名詞1 (方形; 方體) square 2 [數學] (乘方) involution; power 3 (方向) direction 4 (方面) ... 誤 : Ⅰ名詞(錯誤) mistake; error Ⅱ動詞1 (弄錯) mistake; misunderstand 2 (耽誤) miss 3 (使受損害...

均方誤 例句

  1. Asymptotic minimax efficiency ; interative logarithm law ; mean error
    漸近minimax有效重對數律 均方誤 差
  2. The autoaligment instrument and accuracy turntable with digital display are used to detect the step angle after 32 subdivision, and the experiment results are given, the mean - square error of step angle after 32 subdivision is less than 3. 7 %
    為了檢測32細分后的步距角,採用了自準直儀加精密數顯轉臺的光學測量 方 法,並給出了實驗結果, 32細分步距角的 均方誤 差不大於3 . 7 。
  3. Third, the accuracy of parameter estimate methods for the 2 - parameters weibull distribution and four different estimate methods for failure time based on the life of fixed time measurement are discussed
    在無偏性和 均方誤 差最小的意義下,得出了上述估計 方 法的優劣,為定時截尾、定時測試試驗數據下的可靠性分析奠定了基礎。
  4. Abstract : the generalized shrunken prediction of finite population is introduced, using generalized shrunken least squares estimator of linear regression models. with respect to prediction mean squared error, a necessary and sufficient condition for superiority of a generalized shrunken prediction over the best linear unbiased prediction is obtained. in the case of linear combination of every unit index, a linear restricting prediction is introduced and then a necessary and sufficient condition for superiority of linear restricting prediction over the best linear unbiased prediction is devived
    文摘:利用線性回歸模型的廣義壓縮最小二乘估計,引入了有限總體的廣義壓縮型預測,在預測 均方誤 差意義下,得到了廣義壓縮型預測優于最佳線性無偏預測的一個充分必要條件;在只能得到每個個體指標的線性組合時,引入了一種線性約束型預測,並得到了線性約束型預測優于最佳線性無偏預測的一個充分必要條件
  5. Depending on the specific application, the enhancement system may be directed at different objectives. what is contained in the thesis is as following : ( 1 ). a variety of methods based on short - time spectrum estimation for speech enhancement are discussed
    系統地研究了基於語音短時譜估計的各種增強 方 法,包括幅度譜相減法、功率譜相減法、維納濾波法、最小 均方誤 差法、兩態軟判決等。

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