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linear unbiased estimation中文是什么意思

  • 線性無偏估計

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  • Canonical correlation coefficient and the best linear unbiased estimation
    典型相關系數(shù)與最佳線性無偏估計
  • The robustness of bayes linear unbiased estimations under misspecified prior assumption
    線性無偏估計的穩(wěn)健性
  • 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(shù)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分布中的參數(shù)進行估計,分別給出了這八種估計量的期望、方差和協(xié)方差。
  • 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(tǒng)地闡述了傳感器網(wǎng)絡環(huán)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(yōu)的多傳感器分布式統(tǒng)計判決;傳感器觀測數(shù)據(jù)或局部估計的最優(yōu)維數(shù)壓縮;一般條件下最優(yōu)線性無偏估計融合公式及其有效算法;傳感器觀測噪聲相關情形下動態(tài)系統(tǒng)的卡爾曼濾波融合;容錯條件下的區(qū)間估計融合。
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