least squares estimation

英 [liːst skweəz ˌestɪˈmeɪʃn] 美 [liːst skwerz ˌestɪˈmeɪʃn]

网络  最小二乘估计; 最小均方估计

化学



双语例句

  1. Improved Simplex Method for Nonlinear Least Squares Estimation
    改进的单纯形法及其在非线性参数估计中的应用
  2. Asymptotical properties of generalized least squares estimation for multiple nonlinear regression models
    多元非线性回归模型GLS估计的渐近性质整数系列与零头系列
  3. Track-to-Track Fusion Algorithm Based on Linear Least Squares Estimation
    基于线性最小方差估计的航迹融合算法
  4. 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
  5. A new arithmetic approach to the target identification of lidar range image was introduced by using the least squares estimation and linear glide updater for the design of a filter.
    针对激光雷达一维距离像的目标识别,提出了利用最小二乘估计器和线性滑动更新器构造滤波器的算法。
  6. Secondly, two methods for estimating the parameters of the generalized Lambda distribution are proposed: method of moments estimation and nonlinear least squares estimation method. Then they are compared with each other by using Monte Carlo Simulation Test.
    其次介绍广义Lambda分布的两种参数估计方法&矩估计法和非线性最小平方估计法,并用MonteCarlo模拟试验对这两种方法进行比较。
  7. Theoretical analysis shows that it is effective in separating the errors of gyro and accelerometers via least squares estimation.
    文中给出了一套六位置测试方法,理论分析表明,该方法通过最小二乘法能有效的分离了陀螺和加速度计的各项误差。
  8. It gives out more satisfactory results than that obtained from the least squares estimation method ( LS). The Monte Carlo method has been employed to the study of the results obtained from methods of MLE and LS.
    用蒙特卡罗方法对MLE和LS的结果作了研究。
  9. Application of genetic algorithms in nonlinear least squares estimation
    遗传算法在非线性最小二乘平差中的应用
  10. Presents an unified linear fusion model for multi-sensor information which can not be restricted by data types and fusion system structure, moreover indicates that it is equivalent between linear minimum square estimation fusion and weighted least squares estimation fusion on premise of positive definite noise covariance matrix;
    给出了多源信息统一的线性融合模型,使其表示不受数据类型和融合系统结构的限制,并指出在噪声协方差阵正定的前提下,线性最小方差估计融合和加权最小二乘估计融合是等价的;
  11. The Least Squares estimation based on the new approached density can result the robust estimates of model parameters.
    基于方差膨胀的污染正态分布,可由最小二乘估计获得模型参数的抗差估计解;
  12. This paper analyses the bias of Least Squares estimation of ARX model of Evoked Brain Potential ( EP).
    本文分析了诱发脑电的ARX模型(带外输入的自回归模型),指出其参数的最小二乘估计(LS)的有偏性。
  13. The direct form for the recursive least squares estimation via matrix QR decomposition with one step data updated is given.
    给出了当数据一步更新时,利用矩阵QR分解进行最小二乘估计的直接递推形式。
  14. System identification, adaptive controller and their applications in adaptive steering system have been studied in this paper. An improved extended recursive least squares estimation algorithm has been presented.
    本文研究了系统辨识和自校正控制器的算法及其在自适应操舵系统中的应用,提出了一种改进的扩展最小二乘在线算法。
  15. Genetic Algorithms Research Based on Nonlinear Least Squares Estimation
    非线性最小二乘估计的遗传算法研究
  16. We develop a design criterion in terms of the average expected quadratic loss for generalized least squares estimation.
    采用广义最小二乘估计作为参数向量的估计,根据平均预测风险最小原理得到了一个稳健设计准则。
  17. In this paper, by the analyses about the strategy of the combination hedge in futures markets and its risk, we get least squares estimation of the hedge ratio and its risk.
    对期货市场组合套期保值策略和保值风险进行了分析,给出组合套期保值率的最小二乘估计和保值风险的估计。
  18. Methods It is discussed by nonparametric piecewise polynomial estimation and least squares estimation.
    方法利用非参数分段多项式估计和最小二乘法进行讨论。
  19. The integer least squares estimation of the LAMBDA is analyzed, and the result shows that the key process of integer least squares estimation is GPS ambiguity decorrelation.
    然后对LAMBDA算法中整数最小二乘估计进行了深入的分析,得出结论:模糊度去相关处理是整数最小二乘估计的关键过程。
  20. Chapters 3 and 4 introduced the least squares estimation method and the target trajectory initial particle filter recursive estimation method.
    第三章和第四章分别介绍了最小二乘初值估计法和目标轨迹粒子滤波递推估计法。
  21. Starting from reducing the mean squared error of least squares estimation of regression coefficient β, People present many important estimations, such as ridge estimation, Stein estimation, Liu estimation and so on.
    从减小回归系数β的最小二乘估计的均方误差出发,人们提出了很多重要的估计如岭估计、Stein估计和Liu估计等。
  22. LAMBDA is more efficient than the mixed integer least squares estimation method.
    基于分支界定法的混合整数最小二乘估计算法在效率上却不如LAMBDA方法。
  23. By using least squares estimation and ridge regression estimation methods and combining historical data from China Merchants Bank, we carry out regression analysis on model.
    在此分析基础上,本文建立了我国信用卡产品的收入函数模型,运用最小二乘估计和岭回归估计的研究方法,结合招商银行信用卡历史数据,对信用卡收入函数模型进行回归分析。
  24. So people begin to seek new estimation to replace least squares estimation.
    因此人们开始寻找新的估计来代替最小二乘估计。
  25. For different prior distribution, we get the Bayes estimation of linear regression coefficient and prove that it is uniformly more superior than least squares estimation in Pitman criterion.
    在不同的先验分布下,我们得到了线性回归系数的Bayes估计,并且证明了在Pitman准则下Bayes估计是一致地优于最小二乘估计的。
  26. Focus on least squares estimation and ridge estimation, study the Cook distance and Welsch-kuh statistic, analysis the influence of β in data-delete model, given the relevant conclusions and inferences.
    主要围绕最小二乘估计和岭估计展开Cook距离和Welsch-Kuh统计量的研究,分析删除数据对估计量β的影响,给出相关结论和推论。
  27. Then study the least squares estimation and ridge estimation, set out a new kind of conditional generalized ridge-type estimation, and discuss the relationship between the various estimates.
    第四章对最小二乘估计和岭估计进行深入研究,提出了一种新的条件广义岭估计,并研究了各种估计之间的关系。
  28. To block-type pilot arrangements, the least squares estimation algorithm and the minimum mean square error estimation algorithm are discussed. To comb-type pilot arrangements, the methods of constant interpolation, linear interpolation, second-order interpolation, spline interpolation and time-domain interpolation are discussed.
    针对块状导频插入方式,讨论了最小二乘估计算法和最小均方误差估计算法;针对梳状导频插入方式,讨论了常值插值、线性插值、二阶插值、样条插值和时域插值方法。
  29. Using the two-stage least squares estimation method to evaluate the part of parametric and semi-parameter regression model and then residual test and the final analysis of the load forecasting.
    利用两阶段最小二乘估计方法,对半参数回归模型中的参数和非参数部分进行估计,然后对模型检验,最后对负荷进行预测分析。