查询词典 error estimation

The optimal amount of historical data for parameter estimation and for the determination of the order of error polynomial are studied by using real data.

结合实际数据研究了电价预测模型中参数辩识的最佳历史数据量及模型中残差多项式阶次的选择问题。

Different polynomial coefficient combination of amplitude changes is selected as the input signal to minimize the compensation error. A dynamic coefficient polynomial model is given with simplified coefficient estimation algorithm based on direct learning architecture.

动态系数多项式具有多组系数，随着输入信号幅度的变化，多项式选取不同的系数组合，从而降低非线性补偿的误差；文中讨论了动态系数多项式模型的构造方法，并且给出了基于直接学习结构的简化递归系数估计算法。

Precision estimation of principal direction is more objective by using principal stress deflection error proposed in this paper.

提出了主应力的偏角误差概念及其计算方法，使主应力方向的精度评定更加真实客观。

Sset future prices can be forecasted with filtering historical simulation by drawing from standardized residual density. The problem of inappropriate risk neutral assumption could be resolved by the calibration from density transformation. The transformation is to identify the state price density per unit probability through the parameter re-estimation by minimizing the mean squared error of market and model prices.

bstract：使用残差机率分配抽样的过滤历史模拟法可以作为未来资产价格的预测，而风险中立假设不适当的问题则可透过风险测度的转换予以解决，该转换过程系将市场价格与模型价格的均方差极小化求得估计校正后的新参数，作为状态价格机率分配的转换机制。

Sensitivity analysis has been performed in order to evaluate probable Land Surface Temperature estimation error due to the possible errors in transmittance and emissivity.Results from the analysis indicate that the alg...

结果表明，当31、32两个波段的参数估计都有中等误差时，可能的地表温度误差对大气透过率和地表比辐射率都不敏感，所引起的地表温度误差大约为0.6~0.8℃，算法能够得到较高精度的地表温度反演结果。

By means of choosing the parameters of recurrence formula and the autocorrelation estimation of two error signals,the step length c...

理论分析和仿真实验验证了该谐波电流检测算法的正确性和有效性。

This is a globally optimized algorithm and can derive a rheological parameter estimation, showing superior statistic features including near unbiasedness of fitting residual error and almost least variance.

新算法是一个全局优化算法，所得到的流变参数估计具有拟合残差近似无偏性和方差几乎为最小的特征。

This new algorithm can derive a rheological parameter estimation that shows superior statistic features of fitting residual error unbiasedness and least variance.

该算法不需要人工给定迭代初始值，迭代过程稳定收敛到最小点，不会陷入极小点陷阱，收敛速度很快，所得到的流变参数估计具有拟合残差无偏性和方差最小的优良统计特征。

Hierarchical linear modeling is the most frequently used technique for analyzing multilevel data. In this paper, the twelve key issues in multilevel research and/or using HLM software were reviewed, and provided their exact meanings and feasible solutions. The 12 key issues included intraclass correlation coefficient, sample sizes, formation of organizational constructs, centering problems, fixed effect and random effect, estimation methods, goodness of fit index, explained variation, multicollinearity, robust standard error, level one variance equation, and empirical Bayes estimates.

本文针对阶层线性模式在多层次研究上有关於技术、测量与方法论所遭遇的问题，进行文献整理并讨论其实务意涵，并依据使用时机、抽样议题、资料汇总、分析方法、与模式评估与估算等五方面整理出十二项重要议题与解决之道，包括：组内相关系数的意义与判断准则、多层次研究各层的样本数问题、变数聚合成组织层次问题、中心化的意义、固定效果与随机效果的设定、估计法的选择、适配度的比较、解释变异量的计算、多元共线性的分析、强韧性标准误、第一层误差项变异数与实证贝氏估计值的运用。

Discussion topics include data analysis, probability concepts, point and interval estimation, statistical inference, hypothesis testing, simple regression model, inference in the simple regression model, general linear statistical model, dummy variables, collinearity, heteroscasticity, autocorrelation, error-related model, the Probit model, the Logit model and the Tobit model, simultaneous equations, and the time-series statistical model

讨论的主题包括实证资料的分析，机率，点估计与区间估计，统计推论，假设检定，简单回归分析，一般线性统计模型与推论，虚拟变数，共线性问题，异质变异数，自我相关， Probit模型， Logit与Tobit模型，联立方程式的估计与推论，时间数列统计模型。

Plunder melds and run with this jewel!

掠夺melds和运行与此宝石！

My dream is to be a crazy growing tree and extend at the edge between the city and the forest.

此刻，也许正是在通往天国的路上，我体验着这白色的晕旋。