加权最小二乘估计,Weighted least squares estimate
1)Weighted least squares estimate加权最小二乘估计
1.This article suggests a model for weighted least squares estimate for spherical surface measurement with polar radius method.本文给出了基于极径法球面测量的加权最小二乘估计模型，并依据该模型进行测量采样点布局的优化设计。
2.This paper introduces the quality of the weighted least squares estimate and the method to choose the common weighted function choose,gives a standard of judging a good least squares estimate,and proposes the iteration algorithm of choosing weighted function.介绍了加权最小二乘估计的性质及其常见权数选择的方法,并给出评判一个好的二乘估计的标准,由此提出选择权数的迭代算法。
3.This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.给出了线性回归模型中的加权最小二乘估计以及最优权数的选择。
英文短句/例句
1.Weighted Least Squares Estimate for Linear Regression Model;线性回归模型中的加权最小二乘估计
2.Simulation results show that the weighted least squares estimate has better properties than the least squares estimate.模拟结果表明加权最小二乘估计比最小二乘估计有优良的性质。
3.A result concerning the extension of optimally weighted least squares;推广的最优加权最小二乘估计解的一个结果
4.Simple Weighted Least Squares on Dealing with Heteroscedasticity and its SAS Programme一元加权最小二乘估计处理异方差性及SAS实现
5.Influence Analysis on Weighted Least Squares Estimator Based on Pena Distance基于Pena距离的加权最小二乘估计的影响分析
6.The extension of Optimally Weighted Ls and Matrix Schwarz inequality;最优加权最小二乘估计解与矩阵希瓦兹不等式的推广
7.Application of Power Least Square Method in Piano Fundamental Frequency Estimation加权最小二乘法在钢琴基频估计中的应用
8.Set membership estimation by weighted least squares support vector machines集员估计的加权最小二乘支持向量机方法
9.Application of least square estimation to weight coefficient of additive fuzzy systems;最小二乘估计在可加性模糊系统权系数中的应用
10.generalized least squares estimator广义最小二乘估计量
11.weighted least square criterion加权最小二乘方准则
12.The Research of Algorithm of Weighted Least Square with Constraints in State Estimation;状态估计中带约束加权最小乘法的研究
13.Application of Weighted Type Least Squares on Multiphase Flow Meter最小二乘加权法在多相流计量中的应用
14.A Least Square Nonlinear Estimation of Cumulative Reserves Model累计储量模型的非线性最小二乘估计
15.least squares collocation最小二乘配置法，最小二乘拟合推估法
16.mixed three-stage least-squares estimatio混合三阶段最小二乘估计
17.joint GLS coefficient estimator联合广义最小二乘系数估计量
18.RECURSIVE FAST ALGORITHM FOR LEAST SQUARES ESTIMATION WITH HOUSEHOLDER TRANSFORMATION最小二乘估计的HOUSEHOLDER变换快速递推算法
相关短句/例句
weighted least squares estimation加权最小二乘估计
1.The hybrid algorithm combinesweighted least squares estimation with Extended-Kalman Filter(EKF).在采用装备有GPS装置的移动信标-移动机器人、无人机的基础上,将加权最小二乘估计与扩展卡尔曼滤波(EKF)组合,进行未知节点定位。
2.Using the convex and the memoryless property of exponential distribution,the paper gives the hierarchical Bayesian estimation of the reliability of zero-failure data(t_i,n_i) of exponential distribution,so that theweighted least squares estimation of parameterθis obtained.本文讨论了指数分布的无失效数据(t_i,n_i),利用指数分布的凸性和其特性一无记忆性,给出了可靠度的多层Bayes估计,进而得到参数θ的加权最小二乘估计。
3)weighted least squares estimator加权最小二乘估计
1.It also makes use of system s redundant information effectively byweighted least squares estimators.通过加权最小二乘估计来有效地利用系统的冗余信息。
4)optimally weighted LS estimate最优加权最小二乘估计
1.Linear minimum variance estimate andoptimally weighted LS estimate are often used in many fields such as signal processing,control and communications.在信号处理、控制和通讯等技术领域，常常使用线性最小方差估计和最优加权最小二乘估计对参数作出估计。
5)weighted least square state estimation加权最小二乘状态估计
6)randomly weighted least square estimator随机加权最小二乘估计
1.Therandomly weighted least square estimator (RWLSE) for the parametric component in semi-parametric regression models was mainly discussed.主要考虑了同方差型的半参数线性回归模型中参数的随机加权最小二乘估计(RWLSE)。
延伸阅读
广义最小二乘估计用迭代的松弛算法对线性最小二乘估计的一种改进。线性最小二乘估计在模型误差为相关噪声时是有偏估计，即其估计值存在偏差。这时采用广义最小二乘估计能获得较精确的结果。假设所讨论的单输入单输出系统的差分方程模型是式中{uk}和{yk}分别是输入和输出序列：和是算子多项式,它们的系数是需要通过估计来求出的未知数;z-1是单位延迟算子；{ek}是误差序列，它是零均值平稳相关噪声序列。为了进行广义最小二乘估计可以从形式上把ek变换成，这里，它的系数也是未知的。如果{ek}具有有理谱密度,则可把{εk}当作白噪声序列来处理。这样就把系统模型变成相应的估计准则是 广义最小二乘估计就是使估计准则J为极小的参数估计。多项式A(z-1)、B(z-1)和C(z-1)的系数都是未知的,所以不能用一个线性算法获得广义最小二乘估计。广义最小二乘估计采用迭代的松弛算法：先行固定C(z-1)，估计A(z-1)和B(z-1),使J 趋于极小；然后固定A(z-1)和B(z-1),估计C(z-1),使 J 趋于极小。如此反复迭代，直至估计值收敛。这时每步只进行简单的线性最小二乘估计运算，迭代的初值取扗(z-1)=1。广义最小二乘估计算法的估计精度高，已得到应用并获得不少成果。它的缺点在于：当信噪比较小时,J可能有多个局部极小点，估计结果不能保证收敛到全局最小点，即参数真值；它的计算量也比线性最小二乘估计增加很多。这种算法也可推广到多输入多输出系统，并且有相应的近似递推估计算法。当误差{ek}为正态噪声序列时，这种算法还可以解释为极大似然估计的松弛算法。参考书目G.G.哥德温、R.L.潘恩著，张永光、袁震东译：《动态系统辨识：试验设计与数据分析》，科学出版社，北京，1983。(G.C.Goodwin and R.L.Payne，Dynamic SystemIdentification：Experiment Design and Data Analysis, Academic Press, New York,1977.)
如果觉得《加权最小二乘估计 Weighted least squares estimate英语短句 例句大全》对你有帮助，请点赞、收藏，并留下你的观点哦！
