ols的例句大全

The Role of OLS in Peripheral Acupuncture Analgesia in Arthritic Rats

阿片系统在针刺镇痛外周机制中的作用

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an improved general radical basis function neural network ( gerbf), which is trained by rapid origin least square ( ols), is proposed.

采用一种改进的广义径向基函数网络（GERBF），利用正交最小二乘法训练速度快的优点，降低算法的复杂性。

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Empirical results is that OLS model has that defects in application. Therefore, the regression coefficient of the simple linear regression is not the best estimate of the minimum risk hedge ratio in the case of not meeting for the OLS assumptions.

实证结果得出，传统的股指期货套期保值模型在应用中确实存在着缺陷，在不符合OLS假设情况下，简单线性回归得到的回归系数并不是最小风险套期保值比率的最佳估计值。

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traditional ols method can not get such results.

传统的OLS方法无法得到上述的实证结果。

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nonlinear system identification based on adaptive competitive clustering and ols

基于自适应竞争聚类和OLS算法的非线性系统辨识

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however, traditional ols model rejected the prospect theory. 4.

而传统OLS模型则拒绝预期理论。

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i used ols regression to return to the three equations.

本文采用OLS回归方法对三个方程进行回归。

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freeway incident detection using improved ols algorithm and rbf neural networks

基于改进OLS算法的RBF神经网络高速公路事件探测

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study on the ols algorithm of rbf neural network

RBF神经网络中心选取OLS算法的研究

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estimation, finding the ols estimate values of the parameters of the model.

确定模型阶数P；（2）估计，求模型参数的OLS估计值；

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parameter estimation in an electro-hydraulic proportional valve using ols and fuzzy rbf network

基于OLS和模糊RBF网络的比例阀参数估计

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the results show that the quantile regression can provide more information than classical ols.

结果表明，分位数回归比经典的最小二乘回归能够提供更多的信息。

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speeding up optimization searching of the ols algorithm within traffic flow prediction based on the rbf network

基于RBF的交通流预测中加速OLS寻优

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ols regression and multivariate statistical analysis on inflation incentives

通货膨胀诱因的OLS及多元统计实证分析

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application of ols arithmetic to fault diagnosis for airborne sensors in unmanned aerial vehicles

OLS算法在无人机传感器故障诊断中的应用

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the problem is that there is simultaneity bias when ols is used.

问题在于当使用最小平方法时会有同步偏差。

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for the former, applying traditional ols regression and granger-causality test to discuss;

对于前者，利用传统的OLS回归方法和Granger因果检验进行分析；

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the linear regression models are widely used and the classic method of estimating regression coefficients is ols.

线性回归模型是应用十分广泛的一类模型，估计回归系数的经典方法是最小二乘法（OLS）。

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it applies panel co-integration and dynamic ols to test relation between fdi and china's technology innovation.

本文运用面板协整工具和动态最小二乘法（DOLS）来检验我国1990-2004年间的外商直接投资（FDI）的技术溢出效应与我国技术创新的相关关系。

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when the errors follow a normal distribution, the robust estimation method is essentially as good as ols.

当误差服从正态分布时，稳健估计方法与OLS基本一样好。

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