minimum variance estimation 中文意思是什麼

minimum variance estimation 解釋
最小方差估計
  • minimum : n （pl minimums ma ） 最小，最低，最少限度；【數學】極小（值）。 the irreducible minimum 無法減少...
  • variance : n. 1. 變化，變動，變更；變度，變量；【統計】（平）方（偏）差。2. （意見等的）相異；不和，沖突，爭論。3. 【法律】訴狀和供詞的不符。
  • estimation : n. 1. 估計，評價。2. 預算，預算額；概算。3. 尊重，尊敬。4. 意見，判斷。5. 【化學】估定；測定。
  1. Variance and covariance components of each effect were estimated by minimum norm quadratic unbiased estimation ( minque ) method

    用minque法估計各項效應的方差和協方差分量，用aup法預測隨機效應。
  2. For a general linear model ( input matrix is deterministic ), under a certain conditions on variance matrix invertibility, the two estimates can be identical provided that they have the same priori information on the parameter under estimation. even if the above information is unknown only for the optimally weighted ls estimate, the sufficient condition and necessary condition, under which the two estimates are identical, is derived. more significantly, we know how to design input of the linear system to make the performance of the optimally weighted ls estimation identical to that of the linear minimum variance estimation in case of being lack of prior information

    在一般線性模型（即輸入矩陣為確定性）下，當兩種估計都利用有關被估參數的先驗信息時，二者在方差陣可逆的一定條件下可達到一致；當最優加權最小二乘估計不利用此先驗信息時，存在二者一致的充分條件和必要條件，進而找到一種設計輸入矩陣的方法，使得在先驗信息缺乏的條件下，仍可利用最優加權最小二乘估計達到與線性最小方差估計一樣優越的估計性能。
  3. Based on the linear unbiased minimum variance estimation theory, an asynchronous fusion algorithm that fused the state vector of linear system with arbitrary correlated noises is developed

    摘要基於線性無偏最小方差估計理論，提出了一種任意相關雜訊線性系統非同步狀態向量融合演算法。
  4. A multisensor convex linear statistic fusion modal for optimal interval estimation fusion is established. a gauss - seidel iteration computation method for searching for the fusion weights is suggested. in particular, we suggest convex combination minimum variance fusion that reduces huge computation of fusion and yield approximately optimal estimate performance generally, moreover, may achievers exactly optimal performance in some cases

    建立了一種最優區間估計融合模型? ?多傳感器凸線性組合，並給出搜索最優權系數的gauess - seidel迭代演算法，另外，給出了一種近似的區間估計融合? ?凸線性組合的最小方差融合，它能減少大量的計算量。
  5. Thus finally we can realize the minimum variance control. simulations show that preferable parameter estimation and satisfactory control performance can be achieved using the derived dual adaptive control

    利用卡爾曼濾波對未知的系統參數進行估計，最終實現隨機系統的對偶自適應控制。
  6. Extension of the uniformly minimum variance unbiased estimation of a class of multivariate linear model

    一類多元線性模型的一致最小方差無偏估計的推廣
  7. Minimum variance estimation

    最小方差估計
  8. In this paper we mainly discuss the problem about minimum variance estimation for linear model and bring out the relevance and difference of performance between the two methods in order to provide theoretic foundation for choosing appropriate estimation method

    本文針對這種線性（觀測）模型下的最小方差估計問題進行了深入討論，指出這兩種估計性能之間的關系及差別，從而為選擇恰當的估計方法提供理論依據。
  9. The estimation of regional anomaly is obtained under the conditions of linear, u nbiased and minimum variance of estimation

    從重（磁）觀測數據中減去區域異常就可得到局部異常，這就是泛克立格法。
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