参数估计

They have diversity requirements of the data, the distribution of variables, the efficient of the misclassification, the result of the estimation function.

从数据的要求、对索赔的分布特点要求、数据的缺失影响、参数的估计、识别的准确率、错误率等角度进行模型的比对分析。

A new approach is developed to estimate the mixed梂eibull distribution ? s parameters using the Bayes theory.

利用贝叶斯理论给出了估计混合威布尔分布参数的一种新方法。

To solve the problem numerically, a mollification method is considered. Error estimate between the exact solution and its approximation is given.

作者在文章中提出了一类正则化方法，通过巧妙地选取适当的参数及相应高斯核正则化子来构造逼近解，并给出了逼近解的近似程度估计。

A simple and efficient calibration of monocular camera was also presented to get more accurate motion parameters.

为了更准确地估计目标的运动参数，还提出了一种简单有效的单目相机标定算法。

Restoration of images is highly dependent on estimation of motion blur parameters.

提出了一种新的算法来估计线性运动模糊参数。

Restoration of the motion blur images is highly dependent on estimation of motion blur parameters.

运动模糊图像的复原主要依赖于对运动模糊参数的估计。

Motion blur is one of common blurs that degrades images.

运动模糊是降质图像中常见的一种形式，运动模糊图像的恢复主要依靠对运动模糊参数的估计。

Severe multicollinearity means the variance of the estimated parameter will be very large.

严重的多重共线性意味着被估计参数的方差将非常大。

First, TMA method for multistation, ispresented using multi-bearings, frequency in different way including focus and contributed ways.

仿真结果表明数据融合方法可以很好地提高目标运动参数的估计精度，为被动测距精度的提高提供了一条新途径。6。

The speciality to let several coefficients of S-M algorithm are analyzed;(2) We first propose the nonlinear and adaptive prediction model based on several closest neighbors and extend the method to multistep prediction;(3) We first exploit Empirical Mode Decomposition technology to predict hopping frequency codes, it is namely that a complex time series is decomposed as several Intrinsic Mode Functions easy to prediction, then predict these IMF respectively, at last reconstruct estimated values of the time series;(4) We exploit the above prediction model validate effect while there are omitted data in observed time series and propose the corresponding resolve.

1具体分析了S-M算法中几个参数设置的特点；(2)首次提出了基于邻近点的非线性自适应预测模型，同时将这种算法推广到多步预测；(3)首次采用经验模态分解技术预测跳频码，即将一个复杂难以预测的时间序列分解为几个相对容易预测的本征函数，然后分别预测这些本征函数，最后重构出时间序列的估计值；(4)应用基于邻近点的非线性自适应预测模型验证了观测时间序列存在数据缺损时的预测效果，并提出了相应的解决办法。

But we don't care about Battlegrounds.

但我们并不在乎沙场中的显露。

Ah! don't mention it, the butcher's shop is a horror.

啊！不用提了。提到肉，真是糟透了。