linear unbiased造句
例句与造句
- 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 - 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1f噪声的系统回归模型参数的最佳线性无偏估计。 - finally, some illustrative examples are given in this paper as a proof that optimal linear unbiased predictor is a better predictor than others
最后，文章还给出了几个实证研究的例子，证明了最优线性无偏预测是一种比较好的预测方法 - 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
摘要基于线性无偏最小方差估计理论，提出了一种任意相关杂讯线性系统非同步状态向量融合算法。 - It's difficult to find linear unbiased in a sentence. 用linear unbiased造句挺难的
- through proper linear transformation of the origional model, we obtain the educed models which are all sigular models . we peform the uniform theory of least squares getting the best linear unbiased estimates of the coefficents and the ordinary least squares estimates
因为这时模型协方差阵结构仍含有方差参数，因此我们的目标是寻求可行估计。我们通过对原模型做适当的线性变换，获得了导出模型，这些模型都是奇异线性模型。 - in the meanwhile, seeing that the parameters are restricted for many practical problems, the author also studies the problems of optimal conditional prediction in the model with respect to two classes of restriction of linear parameter equations . what is more, the optimal conditional linear and optimal conditional ^-linear unbiased predictors are also obtained respectively, which extends the results given by the predecessors and enrich the theory of optimal prediction
考虑到对于实际问题，模型参数一般是要受到一定的约束，因此作者也研究了两类线性等式约束条件下的模型的最优预测问题，得到了模型的最优条件线性无偏预测和最优条件-线性无偏预测，从而成功地推广了前人的结果，丰富了这方面的预测理论 - 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。 - 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。 - as a result, we are not only unable to obtain the optimal prediction in general cases but incapable of finding the necessary and sufficient conditions as well . considering linear and o-linear predictable variables, the author investigates optimal prediction problems by the trace of matrix . a few necessary conditions are derived and accordingly optimal linear and optimal o-linear unbiased predictors, which are unique with probabitity one, are obtained respectively by the author
对于一类线性可预测变量和-线性可预测变量，作者在矩阵迹意义下研究了一般增长曲线模型中最优预测问题，找到了其存在最优预测的几个必要条件，并在给定的条件下分别得到了最优线性无偏预测和最优-线性无偏预测，而且还证明了它们在几乎处处意义下的唯一性 - 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:利用线性回归模型的广义压缩最小二乘估计，引入了有限总体的广义压缩型预测，在预测均方误差意义下，得到了广义压缩型预测优于最佳线性无偏预测的一个充分必要条件；在只能得到每个个体指标的线性组合时，引入了一种线性约束型预测，并得到了线性约束型预测优于最佳线性无偏预测的一个充分必要条件 - 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:利用线性回归模型的广义压缩最小二乘估计，引入了有限总体的广义压缩型预测，在预测均方误差意义下，得到了广义压缩型预测优于最佳线性无偏预测的一个充分必要条件；在只能得到每个个体指标的线性组合时，引入了一种线性约束型预测，并得到了线性约束型预测优于最佳线性无偏预测的一个充分必要条件 - in the sense of mean squares, maximum likelihood estimator, best linear unbiased estimator, taest linear invariant estimator, and good linear estimator are contracted . fourth, proposed and researched the reliability analysis method under the zero-failure data and doof data . based on the part beta distribution as the prior distribution of failure probability p, = p ( t < r, }, hierarchical bayesian estimate method was discussed, obtain the reliability analysis method under the zero-failure data and the doof data
第四，提出并研究了无失效数据类型和doof数据类型下电连接器的可靠性分析方法，提出了以不完全beta分布为一级先验分布，超参数为[0，1]上的均匀分布作为失效概率先验分布的多层bayes方法，结合加权最小二乘法解决了产品在无失效数据和doof数据下的可靠性分析问题。
更多例句： 下一页