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- The second moment of the least squares estimator in the nonlinear regression model is obtained in this paper in terms of two kinds of curvatures defined by Bates and watts. 本文从似然方程的二级近似出发,求出了非线性回归模型最小二乘估计量(LSE)的二阶矩与Bates and Watts定义的二种曲率之间的关系。
- Abstract: Covariance shaping least squares estimator is a new kind of linear estimator based on covariance shaping in quantum signal processing （QSP） framework. 文章摘要: 协方差成形最小二乘估计器是量子信号处理框架内基于协方差成形方法的一种新型线性估计器。
- nonlinear least squares estimator 非线性最小平方估计量
- Covariance shaping least squares estimator 协方差成形最小二乘估计器
- generalized least squares estimator 广义最小二乘估计量
- universal least squares estimator 泛最小二乘估计量
- Weighted least squares estimator 加权最小二乘估计
- two-stage least squares estimator 两段最小平方估计量
- restricted least squares estimator 约束最小二乘估计
- The method involves principal components analysis, phase space reconstruction and least squares estimate. 方法包括3部分：主分量分析，相空间重构，最小二乘拟合。
- Result indicates that Fuzzy Principal Component Method can improve multicollinearity of Least Squares Estimate. 结果表明,这种方法改善了最小二乘回归中的多重共线性问题,具有实用价值。
- The ordinary Least Squares Estimate (LSE) in linear regression model is not robust for many cases. 摘要在线性回归模型中普通的最小二乘估计(LSE)许多情形下是不稳健的。
- In the parallel trinocular scheme, a least squares estimation algorithm is developed for recovering the translational motion parameters. 中文摘要本文提出简化平面类复眼架构，作为估测平移运动参数的技巧。
- Based on the theory of least squares estimation, the paper established strict adjustment model for irregular Digitized Curves in GIS. 摘要基于最小二乘原理，建立了GIS中不规则曲线数字化数据处理的严密平差模型。
- In a short period, the platform angle errors are constants, and can be estimated by the least squares estimation (LSE) method. 由于短时间内，平台角误差可以看作是常值，因此可以采用最小二乘的方法进行估计。
- Lastly, under misspecified prior assumption the Bayes estimator (BE) of regression coefficients are obtained, based on the loss matrix criterion and posterior Pitman closeness (PPC) criterion, it is compared with the least square estimator (LSE). 第三种情形，我们得到了在错误先验假定下回归系数的Bayes估计，并获得了在矩阵损失和后验Pitman Closeness(PPC)准则下Bayes估计相对与最小二乘(LS)估计的优良性。
- Robustness Least Squares Estimator of Mixed Normal Distribution 混合型正态分布的抗差最小二乘估计
- Some Conditions which Generalized Least Squares Estimator is BLUE 广义最小二乘估计为BLUE的若干条件
- For a class of regression model, the least squares estimate and the weighted least squares estimate of parameter are constructed under the random right censorship, the asymptotic normality of the estimators is proved. 考虑一类回归模型,在右删失数据下构造了参数的最小二乘估计和加权最小二乘估计,证明了估计量具有渐近正态性。
