A error analysis of the recurrent algorithm of Least Squares estimate for satellite geodesy is given in this paper.
本文就卫星测地情形，对最小二乘估计的递推算法进行误差分析。
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。
Simulation results show that the weighted least squares estimate has better properties than the least squares estimate.
在获得了相应的数学模型后，对最小二乘估计和最大似然估计方法进行了比较。
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。
Secondly, the consequent parameters of rules are calculated by the least squares estimate. Thus, the T-S fuzzy model is set up.
然后，采用最小二乘法求得T-S模糊模型的规则后件参数，从而建立起非线性系统的T-S模糊模型。
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。
This paper gives weighted least squares estimate and the method to choose optimum weighted function for linear regression model.
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。
Objective To improve on classical least squares estimate of regression analysis and explore nonparametric smoothing spline regression analysis.
目的改进回归分析的经典最小二乘估计方法和探讨光滑样条非参数回归分析方法。
The linear unbiased minimum variance estimate and the optimally weighted least squares estimate are two of the most popular estimation methods for a linear model.
线性无偏最小方差估计与最优加权最小二乘估计是线性模型下两种最常用的估计方法。
We apply the least squares estimate to calculate GPS single point positioning equation and precision estimate, and put forward the new satellites' constellation choice algorithm.
将最小二乘法应用于解算GPS定位方程，并对其进行精度估计，提出了一种新的星座选择算法。
This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.
研究岭型主成分估计在降维估计类中的方差最优性，证明了它的方差阵在降维估计类中最小，方差阵的特征值最小，方差和及方差积最小。
Comparing with the least squares method, the advantage of this approach in that the influence of non-integer harmonic errors on the estimate of model parameters has been effectively restricted.
与经典的最小二乘法相比，共优点是能有效地抑制非整次谐波误差对模型参数估计的影响。
In this paper, a new bearings only tracking approach, which consists of a set of weighted least squares filters (LSF) each with a different initial range estimate, is proposed.
提出了一种利用基于距离参数的最小二乘滤波器群的纯方位跟踪目标参数估计器，该估计器是由若干个处地不同的距离区间上的加权最小二乘滤波器组成。
Systematically introduced parameter estimation of distributed sources on the base of models, including the maximum likelihood estimate, least squares estimator, DSPE, DISPARE, etc.
在模型基础上系统地介绍了已有分布式目标参数估计方法，包括最大似然与最小二乘算法，DSPE和DISPARE算法等。
Zonal wavefront reconstructing model is adopted, the least squares solution is applied, and the condition number of wavefront reconstruction matrix is used to estimate how its morbidity is.
用直接斜率法进行波前重构，采用最小二乘解，并用波前重构矩阵的条件数作为其病态程度的判据。
How to quicken the speed of parameter tracking for the least-squares estimate is studied in this paper.
本文探讨了如何加快最小二乘参数估计的参数跟踪速度问题。
We often estimate the return model parameter by ordinary least squares and maximum likelihood.
对回归模型进行参数估计时，常用的两种重要方法是普通最小二乘法和最大似然法。
Non-Linear Least Squares were used to estimate the exponential time model.
非线性最小二乘法用于估算指数时间模型。
The method to estimate boundary heating flux according to the observation (single point or multipoint), is given with least squares and perturbation methods;
根据单点或多点测温，应用最小二乘及最佳摄动法，确定气动加热面边界热流密度。
Based on the idea of curve fitting, the nonlinear least squares method (Gauss-Newton method) has been applied to estimate the complex parameters.
文中对用高斯·牛顿法拟合三参数和四参数极化曲线方程序求取电化学动力学参数提出了两种改进方法。
Based on the idea of curve fitting, the nonlinear least squares method (Gauss-Newton method) has been applied to estimate the complex parameters.
文中对用高斯·牛顿法拟合三参数和四参数极化曲线方程序求取电化学动力学参数提出了两种改进方法。
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