| 1. | Canonical correlation coefficient and the best linear unbiased estimation
典型相关系数与最佳线性无偏估计 |
| 2. | The robustness of bayes linear unbiased estimations under misspecified prior assumption
线性无偏估计的稳健性 |
| 3. | Extension of the uniformly minimum variance unbiased estimation of a class of multivariate linear model
一类多元线性模型的一致最小方差无偏估计的推广 |
| 4. | Unbiased prediction and its construction relationship to unbiased estimation in finite populations with arbitrary rank
任意秩有限总体中无偏预测和估计的构造关系 |
| 5. | Variance and covariance components of each effect were estimated by minimum norm quadratic unbiased estimation ( minque ) method
用minque法估计各项效应的方差和协方差分量，用aup法预测随机效应。 |
| 6. | A more accurate and unbiased estimation of case fatality for sars can be obtained with a third method , survival analysis
一种对sars病例病死率更准确和广为接受的估计可以用第三种方法即生存分析得到。 |
| 7. | The simulation results shown that it is unbiased estimation for the wide band procedure and the narrow band procedure in the burg method and it approaches to the true using less data records in the condition of 1ower snr
伯格法可以从信噪比较低的条件下从噪声中提取正弦信号，并且可以用比较少的数据记录进行估计，估计结果很接近真实值。 |
| 8. | 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。 |
| 9. | 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。 |
