最小方差估計 的英文怎麼說

中文拼音 [zuìxiǎofāngchāgūjì]
最小方差估計 英文
minimum variance estimate
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 估 : 估構詞成分。
  • 計 : Ⅰ動詞1 （計算） count; compute; calculate; number 2 （設想; 打算） plan; plot Ⅱ名詞1 （測量或計算...
  • 估計 : estimate; evaluate; take stock of; size up; calculate; appraise; reckon; estimation; forecast
  1. Then discusses its properties, such as biased property, relative efficiency of generalized variance and superiority comparisons between generalized ridge estimation and generalized least squares estimation. shows iterative algorithm based on the mean dispersion error

    該估計雖然具有偏崎，但其估計精度具有良好的性質，如：有偏性、方差一致最優性、相對于廣義最小二乘估計的廣義方差效率、 mde ? ?有效性等。
  2. Kalman filter is the best estimate under the linear and unprejudiced least mean square error rule

    卡爾曼濾波是線性無偏最小方差準則下的最優估計。
  3. 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。
  4. 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。
  5. Then we give the necessary and sufficient condition under which the optimally weighted ls estimate is identical to thu conditional mean of the parameter given input and observation, i. e., the optimally weighted ls estimate could be optimal nonlinear estimate in the minimum variance sense

    在方差陣可逆的條件下，我們發現最優加權最小二乘估計優于線性最小方差估計，進而得到了其與最小方差估計（即條件均值估計）等價的充要條件。
  6. Asymptotic normality of pseudo - ls estimator of error variance in partly linear autoregressive models

    部分線性自回歸模型中誤差方差偽最小二乘估計的漸近正態性
  7. An on - line minimum - variance estimator was developed for thrust acceleration applied to orbit transfer using discrete - time radar measurements. the mass - flow - rate of propellant was selected as a state variant, which was estimated by employing an integral state model and ekf filter. the variation equations for measurement vector to mass - flow - rate have been established to linearize the discrete - time measurement equations. the algorithm has applied successfully to maneuver process in commanding satellite into geo - stationary orbit. the results show that the algorithm developed here can monitor and determine whether engine works well or failure precisely and quickly during orbit transfer process

    飛行器軌道機動過程中，為跟蹤、定位機動目標和干預機動控制過程，需要統計處理離散的雷達觀測量實時估計推進發動機的推力，進而確定飛行器的瞬時軌道參數.本文所述演算法是該工程問題的探討和解決方案.文章建立了軌道機動過程中連續變質量運動模型和離散雷達量測模型，推進發動機的質量秒耗量作為表徵推力加速度的一個近似常量，應用擴展卡爾曼濾波對離散的雷達測量數據進行順序統計處理給出秒耗量的最小方差估計;文章詳細地推導了線性化量測模型的變分方程和觀測矩陣;模擬結果表明該演算法能快速、準確地估計推進發動機的質量秒耗量和向機動目標施加的實際推力
  8. In the third section three different forms of heteroscedasticity are used in the random simulation and then park test, glejser test and goldfeld - quandt test are compared although the existence of heteroscedasticity does not destroy the unbiasedness of the ols estimators, the variances become larger

    異方差的存在雖然並不破壞普通最小二乘估計量的無偏性，但是估計量的方差變大了。由於估計量方差的變大，就使通常假設檢驗的值不可靠。
  9. 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。
  10. 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
  11. If it is estimated by the method of ols, it will bring about serious effect : the variances of the parameter estimators are not the least, and the accuracy of estimation and prediction decreases

    如果對異方差模型進行ols估計，就會產生嚴重的後果：參數估計量的方差不具有最小方差性；估計與預測的精度降低。
  12. In this case optimally weighted ls estimate is not a linear estimate of a parameter given input and observation anymore and can not be compared with linear minimum variance estimate

    在這種情況下，最優加權最小二乘估計變成關于觀測和輸入的非線性估計，且與線性最小方差估計不可比。
  13. Uniformly minimum variance unbiased estimate

    方差一致最小無偏估計
  14. After converting multiple speckle noise to additional gaussian noise, we achieve the mmse estimate of sar image wavelet coefficient

    將乘性噪聲轉化為近似加性高斯噪聲，可以獲得sar圖像小波系數的最小方差估計。
  15. 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
  16. Minimum variance unbiased estimator

    最小方差非偏估計
  17. Minimum variance estimator

    最小方差估計量
  18. Linear minimum variance estimate and optimally weighted ls estimate are often used in many fields such as signal processing, control and communications. kalman filtering is the recursive version of ihe first estimate

    在信號處理、控制和通訊等技術領域，常常使用線性最小方差估計和最優加權最小二乘估計對參數作出估計。
  19. Minimum variance estimation

    最小方差估計
  20. 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。
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