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韧性估计
相关语句
  robust estimate
     Robust Estimate for Linear Prediction Parameters of Speech Signal
     语音信号线性预测参数的韧性估计
短句来源
     A Robust Estimate Algorithm For The Linear Prediction Parameters Of Autoregressive(AR)Speech Signal Model and its Application in Detecting The Formants
     自回归语音信号模型参数的韧性估计算法及在共振峰检测中的应用
短句来源
  “韧性估计”译为未确定词的双语例句
     Outliers in time series can play havoc with conventional optimizing estimation procedures, in which cases the robust method must be used.
     数据序列中少量异常值(Outliers)的存在会严重破坏传统最优化估计方法的估值性能,这时须采用韧性估计方法才有效。
短句来源
  相似匹配句对
     b) a G-M estimator of ω'1α, ω'2β and ω'1α+ω'2β under L (Xβ, Aα; δ21V, δ22U} respectively.
     b)G-M估计
短句来源
     ESTIMATION OF FRACTURE TOUGHNESS FOR POLYCOMPONENT COMPOSITE MATERIALS
     多相材料断裂韧性K_(Ic)的估计
短句来源
     Robust Estimate for Linear Prediction Parameters of Speech Signal
     语音信号线性预测参数的韧性估计
短句来源
     An Estimator of Reflection Coefficients
     反射系数的估计
短句来源
     ON THE FRACTURE TOUGHNESS OF METALS
     金属的断裂韧性
短句来源
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  robust estimate
FSI sensors can map fluid velocity and holdup profiles along a vertical diameter of the wellbore at every survey depth, enabling a robust estimate of the individual phase flow rates in complex flow regimes.
      
Our analysis supports a robust estimate of relationships within the Iguanidae.
      
Research of the mean cook distance and the robust estimate of scale parameter
      
The results show that under the measure and the stochastic error model the most reasonable robust estimate is the posterior variance approach proposed by Li Deren in 1983.
      
Under the measure and the mean shift error model, the most robust estimate is the one with minimum mean squared error proposed by Zhu Jiangjun in 1991.
      
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Outliers in time series can play havoc with conventional optimizing estimation procedures, in which cases the robust method must be used. This paper discusses the GM estimation, an efficient robust method for estimating AR models, and pays our attention to determing the parameter β in the GM estimation auxiliary equation. The approximate formulas for computing the β are derived in the cases which arecommon to the GM estimation, and therefore the suitable values of the β are selected. In the paper, some digital...

Outliers in time series can play havoc with conventional optimizing estimation procedures, in which cases the robust method must be used. This paper discusses the GM estimation, an efficient robust method for estimating AR models, and pays our attention to determing the parameter β in the GM estimation auxiliary equation. The approximate formulas for computing the β are derived in the cases which arecommon to the GM estimation, and therefore the suitable values of the β are selected. In the paper, some digital simulation examples of the GM estimation are presented and compared with those of the least squareestimation and the maximum entropy estimation. The results show that the GM estimates are still satisfactory while-the LS estimates and the ME estimates become very poor caused by outliers.In addition, the problem of estimating the autoregression order is discussed, and a robust order-selection approach as well as some computer simulation results are given in the paper.

数据序列中少量异常值(Outliers)的存在会严重破坏传统最优化估计方法的估值性能,这时须采用韧性估计方法才有效。GM估计是解决AR模型参数估计问题的一种比较有效的韧性方法。本文在讨论这种估计方法的同时,着重研究了GM估计辅助方程中待定参数β的求定问题。针对常见情况导出了一套计算β的近似公式,选定了该参数。文中给出了几组计算机模拟例,并与最小二乘法和最大熵分析法的估值结果进行了比较。数值结果表明,当序列中存在异常值时,这两种方法的估值结果严重变坏,但GM估计结果却仍然保持十分有效。 本文还讨论了AR模型的韧性定阶问题,提出一种韧性定阶方法,并给出了计算机仿真试验例。

 
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