线性无偏估计的英文

• blue
• linear unbiased estimation
• linearunbiasedestimation

• "线性"英文翻译    linear; linearity
• "无"英文翻译    not have; there is not; be w ...
• "偏"英文翻译    inclined to one side; slanti ...
• "估计"英文翻译    estimate; evaluate; take sto ...
• "最佳线性无偏估计" 英文翻译 :    beat linear unbiased eatimate
• "最优线性无偏估计" 英文翻译 :    best linear unbiased estimate, blue; best linear unbiased estimator
• "最佳线性无偏估计法" 英文翻译 :    best linear unbiased estimation method; blue method
• "最佳线性无偏估计式" 英文翻译 :    best linear unbiased estimator
• "最优线性无偏估计 最良线形不偏推定量" 英文翻译 :    best linear unbiased estimate, blue
• "最优线性无偏估算子" 英文翻译 :    best linear unbiased estimator
• "无偏估计" 英文翻译 :    u iasedestimation; unbiased estimate; unbiased estimation
• "无偏估计量" 英文翻译 :    unbiased estimate; unbiased estimator
• "无偏估计式" 英文翻译 :    unbiased estimator
• "无偏估计值" 英文翻译 :    unbiased estimate; unbiased estimator
• "无偏估计值；无偏估计量" 英文翻译 :    unbiased estimator
• "绝对无偏估计" 英文翻译 :    absolutely unbiased estimation
• "无偏估计方程" 英文翻译 :    unbiased estimating equation
• "渐近无偏估计量" 英文翻译 :    asymptotic unbiased estimator
• "渐近无偏估计式" 英文翻译 :    asymptotically unbiased estimator
• "绝对无偏估计量" 英文翻译 :    absolutely unbiased estimator; absolutely unbiassed estimator
• "平均无偏估计量" 英文翻译 :    mean unbiased estimator; meanunbiasedestimator
• "条件无偏估计量" 英文翻译 :    conditionally unbiased estimator
• "最佳无偏估计值" 英文翻译 :    best unbiased estimator
• "最小方差无偏估计" 英文翻译 :    minimum variance unbiased estimator
• "最佳线性无偏性" 英文翻译 :    best linear unbiasedness

• Canonical correlation coefficient and the best linear unbiased estimation
  典型相关系数与最佳线性无偏估计
• The robustness of bayes linear unbiased estimations under misspecified prior assumption
  线性无偏估计的稳健性
• Life test and acceleration life test - simple linear deflection - free evaluation of weibull distributions
  寿命试验和加速寿命试验的简单线性无偏估计法
• Life test and acceleration life test - optimal linear deflection - free evaluation of weibull distributions
  寿命试验和加速寿命试验的最好线性无偏估计法
• Based on wavelet analysis , wls is the best linear unbiased estimator of regression model parameters in the context of l / f noise
  基于小波技术的wls法是具有1 f噪声的系统回归模型参数的最佳线性无偏估计。
• If we are presented with an estimator that is both linear and unbiased , then we know that the variance of this estimator is at least as large as that from ols
  如果有人向我们提出一个线性无偏估计量，那我们就知道，此估计量的方差至少和ols估计量的方差一样大。
• 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
  当0时，众多文献讨论了回归系数阵的各种估计及lse的有效性，本文考虑了当0的情形，给出了回归系数阵b及其可估参数函数kbl的在矩阵非负定意义下的最优估计( blue ) ，研究了它的一个最大概率性质，并且讨论了最小二乘估计成为最佳线性无偏估计的充分必要条件，在此基础上给出了均值矩阵的最小二乘估计与blue的偏差估计，定义了lse相对于blue的一个相对效率，并给出了它的界。
• 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
  本文利用分位数法、极大似然法、概率加权矩法、矩法、最小二乘法、最佳线性无偏估计法、简单线性无偏估计法、最好线性同变估计法对gumbel分布中的参数进行估计，分别给出了这八种估计量的期望、方差和协方差。
• 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
  摘要系统地阐述了传感器网络环境中几个基本而又重要的信息融合问题的最近进展，包括：最一般条件下全局最优的多传感器分布式统计判决；传感器观测数据或局部估计的最优维数压缩；一般条件下最优线性无偏估计融合公式及其有效算法；传感器观测噪声相关情形下动态系统的卡尔曼滤波融合；容错条件下的区间估计融合。