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parameter estimating
相关语句
  参数估计
    Parameter Estimating Methods for the Three Parameters Weibull Distribution
    三参数Weibull分布几种常用的参数估计方法
短句来源
    Improved Methods of the Parameter Estimating of 3-parameter Weibull Distribution
    三参数Weibull分布参数估计求法改进
短句来源
    Parameter estimating of fixed effect panel data model
    固定影响的平行数据模型的参数估计
短句来源
    Parameter Estimating for Three-Parameter Welbell Distribution
    三参数威布尔分布的参数估计
短句来源
    NEW METHODS OF PARAMETER ESTIMATING FOR THE EVAPO-TRANSPIRATION FORMULA
    阿氏公式参数估计方法的分析与改进
短句来源
更多       
  参数估计
    Parameter Estimating Methods for the Three Parameters Weibull Distribution
    三参数Weibull分布几种常用的参数估计方法
短句来源
    Improved Methods of the Parameter Estimating of 3-parameter Weibull Distribution
    三参数Weibull分布参数估计求法改进
短句来源
    Parameter estimating of fixed effect panel data model
    固定影响的平行数据模型的参数估计
短句来源
    Parameter Estimating for Three-Parameter Welbell Distribution
    三参数威布尔分布的参数估计
短句来源
    NEW METHODS OF PARAMETER ESTIMATING FOR THE EVAPO-TRANSPIRATION FORMULA
    阿氏公式参数估计方法的分析与改进
短句来源
更多       
  参数估值
    This text forms the synthetic prediction soflwarc system with use some parameter estimating algorithms , some parameter prediction mcthodc . some system prediction mcthodc and varying structure system on Multi-Level Recursive Prediction Method.
    本文在现有的一些参数估值算法、参数预报方法和系统预报方法的基础上,结合变结构系统多层递阶预报方法,建立了多模型、多算法、多方法的“综合预报软件系统”.
短句来源
  “parameter estimating”译为未确定词的双语例句
    Parameter estimating and reliability analyzing for EV model with incomplete data
    非全数据EV模型的参数辨识及可靠性分析
短句来源
    This is helpful for the model building, variables selecting and parameter estimating, hi the third part, the arrival process and serve process are studied based on the survey data, especially the delay process is mainly analyzed including the dispersion vehicle headway time distribution.
    第三部分则根据实测数据,对交叉口车辆的到达过程和服务过程作了详细的分析,特别分析了车辆的受阻过程,并用对数正态分布拟合排队车头时距的分布,为模型的建立和车辆延误过程的模拟奠定了基础。
短句来源
    We utilize orthogonal image method to generate individualized face model by adjusting the parameters of the CANDIDE-4. We realize an algorithm based on minimum features for rapid face modeling from video, by tracking feature points, calibrating exterior parameter, estimating 3D location of feature points.
    以CANDIDE-4的参数调整为手段实现基于两幅正交图像的人脸模型重建; 通过跟踪视频中的特征点,标定相机外参,进而估计特征点的3D位置,实现了基于一段视频中小特征点集的人脸建模算法。
短句来源
    Thus, we should use multivariate GARCH models, such as VECH models, BEKK models, CCC models. But they have several limitations in parameter estimating, calculating andexplaining.
    常用的多变量GARCH模型主要有VECH模型、对角VECH模型、BEKK模型、CCC模型等,但它们普遍存在待估参数过多、计算过于复杂、经济意义不明确等缺点,而Engle(2001)提出的动态条件相关多变量GARCH模型(DCC—MVGARCH)就很好地弥补了这些缺陷。
短句来源
    In fixed effect model and random effect model of dynamic panel data, we summarized the OLS method with instrument tool method of parameter estimating.
    总结了动态平行数据模型的固定效应与随机效应模型的最小二乘估计 (OLS)与工具变量估计(Tool)方法 .
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  parameter estimating
Application of martingale arguments to the regression parameter estimating function show the Breslow (1974) estimator to be consistent and asymptotically Gaussian under this model.
      
Compared with other traditional methods, this control law reduces on-line parameter estimating burden.
      
The 15 L volume provides sufficient biomass to conduct parameter-estimating experiments from a BNR-functioning biomass.
      
This concept is consistent with low-order autoregressive linear models, and is routinely used for parameter estimating.
      


Weibull distribution is fitted to the wind speed data obtained from the tower of 164m in height in Nanjing. The mean total power densities and the mean effective power densities were computed using Weibull parameters estimated by three methods. It was found that the relative errors of the power densities to the observed (Tab. 4 and Tab. 5) are all less than 8 percent for the method using the mean and the standard deviation of the wind speed, smaller than 27 percent for the least-squared method and 20 percent...

Weibull distribution is fitted to the wind speed data obtained from the tower of 164m in height in Nanjing. The mean total power densities and the mean effective power densities were computed using Weibull parameters estimated by three methods. It was found that the relative errors of the power densities to the observed (Tab. 4 and Tab. 5) are all less than 8 percent for the method using the mean and the standard deviation of the wind speed, smaller than 27 percent for the least-squared method and 20 percent for that using the mean speed and the mean maximum (seasonaly). It was also found that the errors for the mean total power densities are less than for the effective densities for each method.

本文应用Weibull分布拟合南京164米塔三个高度上风速的概率分布。三种方法用于估计Weibull分布参数,进而估计总平均风能密度和有效平均风能密度,对各种方法的计算结果作了比较分析。

In this paper, a new method for structure discriminaton of models for stationary time series is proposed. To form a basis for model stractur discrimination, a measure of goodness related to the autocorrelation of residuals and to the accuracy of the parameter estimates is chosen. Using the concept of information entropy, a measure function of the autocorrelation of residuals is established. In order to measure the parameter accuracy, a suitable chosen scalar function of Fisher's information matrix...

In this paper, a new method for structure discriminaton of models for stationary time series is proposed. To form a basis for model stractur discrimination, a measure of goodness related to the autocorrelation of residuals and to the accuracy of the parameter estimates is chosen. Using the concept of information entropy, a measure function of the autocorrelation of residuals is established. In order to measure the parameter accuracy, a suitable chosen scalar function of Fisher's information matrix is introduced. and a numerical method for calculating the information matrix is derived. Finally, several digital simulation examples to illustrate the effectiveness and the practicality of the method proposed are given.

本文提出一种平稳时间序列模型结构判定的新方法。判定模型结构优良度的依据是残差的相关性以及参数估计的精度。利用信息熵的概念,文中建立了衡量残差相关性的度量函数。为了度量参数的精度,引入费歇尔信息矩阵的纯量函数,并导出了信息矩阵计算的数值方法,最后,列举了一些数字仿真的例子,以说明本文所提出的方法的有效性和实用性。

The muttivariate ARMAX model isconstantlyused in engineering control problems to establish macro-economic models. In this paper a recursive algorthm of the same class , to identify elements of coefficient matirices, is discussed This a lgorithm has following chateristics:Single input and single output (or lower dimension) identification procedure is e mployed recursively only.The recursiue procedure does not reguire to Caculate every step parameter estimates,it has more flexibility; In virtue of that it...

The muttivariate ARMAX model isconstantlyused in engineering control problems to establish macro-economic models. In this paper a recursive algorthm of the same class , to identify elements of coefficient matirices, is discussed This a lgorithm has following chateristics:Single input and single output (or lower dimension) identification procedure is e mployed recursively only.The recursiue procedure does not reguire to Caculate every step parameter estimates,it has more flexibility; In virtue of that it doesnot Certainly require to caculate eve-ry step estimates, the caculation of inverse matrices in every.In this paper the recursive least squres method and the instrumtal variable algorith-m are also discussed.In this paper a small-sized macro-economie model of an area is discussed.

多变量ARMAX模型常被用于工程控制问题和建立宏观线性经济模型,本文讨论了一类序贯递推算法用以辩识ARMAX模型的系数矩阵元素,它具有如下特点:该算法仅需序贯地使用单输入单输出(或低维)的辩识程序。 递推过程不要求算出每一步的参数估值,使递推过程更富有灵活性;由于不一定要算出每一步的估值,从而减少了每一步矩阵逆的计算。 文中也讨论了最小二乘序贯递推方式及辅助变量方式。 文中讨论了一个地区的小型宏观经济模型。

 
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