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- root squares estimation 根方估计
- Local Root Square Estimation of Parameters in a Linear Model with Mixed Coefficients 混合系数线性模型参数的局部根方估计
- local root square estimation 局部根方估计
- 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。
- 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.
- This note considers a paradox arising in the least squares estimation of linear regression models in which the error terms are assumed to be iid and possess finite r-th moment, for r.in.[1,2). 摘要: 当线性迴归模型的误差项为独立且具相同分布及具有r次阶距; r.;in
- 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。
- 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 result shows that when the mean root square of sensor noise is less than 10m, TERCOM algorithm can achieve matching probability of 90%, while the CEP of SITAN is 60~70 meters. 试验结果表明,当传感器噪声的均方根小于10米时,TERCOM算法可以获得大于90%25的匹配概率,SITAN算法也可以达到60~70米的CEP圆概率误差。
- 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 this paper, Two Different Concepts for the Recursion of Least Square Estimation is Introduced. 本文阐述了两类不同概念的递推最小二乘估计。
- nonlinear least squares estimation 非线性最小平方估计
- profile least squares estimation PLS估计
- The results of calibration sample set showed that the re-correlation coefficients(R2) between NIRS and chemical methods values were 0.99 for CP and the root square standard error of calibration(RMSEC) were 0.34%. 结果指出 :用NIR法得到的预测值与用凯氏定N法得到的测定值间的复相关系数达到R2=0.;99;定标标样的标准误均方RMSEC=0
- multiscale least squares estimation 多尺度最小二乘
- three-stage least squares estimation 三阶段最小二乘估计
- This cloth has a pattern of blue and white squares. 这种布有蓝白格子的图案。
