linear unbiased estimation 中文意思是什麼
linear unbiased estimation
解釋
線性無偏估計- linear : adj. 1. 線的，直線的。2. 長度的。3. 【數學】一次的，線性的。4. 【動、植】線狀的；細長的。5. 由線條組成的，以線條為主的，強調線條的。
- unbiased : adj. 沒有偏見的，不偏不倚的，公平的。
- 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。
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We make the following assumption for when 2 is positive definite matrix, different estimators about matrix of regression coefficients and inefficiency of least squares estimate have been discussed in many documents. considered 2 is nonnegative definite matrix, this thesis derives best linear unbiased estimate of parameter matrix b and estimable parameter function kbl under the meaning of matrix nonnegative definite and the property of maximum probability of blue is investigated. next, we discuss some necessary and sufficient conditions of the equality of the lse and blue, then we derive the estimation of the deviation bet - ween the least squares and the best linear unbias estimators of the mean matrix, meanwhile a relative efficiency of lse ofb is proposed and its bound is given
當0時，眾多文獻討論了回歸系數陣的各種估計及lse的有效性，本文考慮了當0的情形，給出了回歸系數陣b及其可估參數函數kbl的在矩陣非負定意義下的最優估計（ blue ） ，研究了它的一個最大概率性質，並且討論了最小二乘估計成為最佳線性無偏估計的充分必要條件，在此基礎上給出了均值矩陣的最小二乘估計與blue的偏差估計，定義了lse相對于blue的一個相對效率，並給出了它的界。 -
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。 -
In this paper, we discussed the procedures of quantiles, maximum - likelihood, probability weighted moments, moments, least square, the best linear unbiased estimate, good linear unbiased estimation, and the best invariant estimate to the parameters of gumbel distribution, then give out the expectation and variance - covariance respectively. we compared the statistical behavior of these eight estimate procedures not only theoretically but also in the monte - carlo simulation
本文利用分位數法、極大似然法、概率加權矩法、矩法、最小二乘法、最佳線性無偏估計法、簡單線性無偏估計法、最好線性同變估計法對gumbel分佈中的參數進行估計，分別給出了這八種估計量的期望、方差和協方差。 -
Canonical correlation coefficient and the best linear unbiased estimation
典型相關系數與最佳線性無偏估計 -
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 -
Latest progresses on some fundamental and important problems about information fusion in sensor networks are presented, including the multisensor distributed decision in the most general case in the sense of globally optimal fusion ; the optimal dimension compression of the sensor observations or local estimates ; the best linear unbiased estimation fusion formula and the efficient iterative algorithm ; the distributed kalman filtering fusion for the multisensor dynamic systems with cross - correlated sensor noises ; and the fault - tolerant interval estimation fusion
摘要系統地闡述了傳感器網路環境中幾個基本而又重要的信息融合問題的最近進展，包括：最一般條件下全局最優的多傳感器分散式統計判決；傳感器觀測數據或局部估計的最優維數壓縮；一般條件下最優線性無偏估計融合公式及其有效演算法；傳感器觀測噪聲相關情形下動態系統的卡爾曼濾波融合；容錯條件下的區間估計融合。 -
Broadband source location method is investigated by using signal - phase - matching principle, and simulations and experiments are carried out to show the validity of the method ; two high resolution algorithms of broadband signals are proposed, which are the dft interpolation algorithm and the frequency invariant beam space algorithm. the proposed algorithms have no requirement for prior information of source locations, so the results of doa estimation can be unbiased ; a method of temporal - spatial averaging, which can improve the performance of doa estimation for uniform linear arrays, is given. this method can be applied in the most narrowband or broadband eigen - structure based high resolution algorithms
提出了利用信號相位匹配法的寬帶信號方位估計方法並從模擬和實驗兩方面對其進行了驗證；提出了基於dft插值的和基於頻率不變響應波束域的兩種寬帶信號高分辨方位估計演算法，這兩種方法在進行方位估計時均不需要進行方位預估，從而避免了因角度預估可能帶來的估計偏差；最後提出了一種提高均勻線列陣方位估計性能的時空平均法，該方法可適用於多數窄帶或寬帶的特徵結構類高分辨方位估計演算法中。
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