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- Semiparametric Estimator 半参数估计
- An estimator is a random variable. 估计量是一个随机变量。
- The Statistical Property of Semiparametric Estimators with Positively Definite Regular Matrix 正规化矩阵正定时半参数估计量的统计性质
- The estimator can take various specific forms. 这种估计式可采用不同的具体形式。
- Comparison of M-estimator and LTS Estimator in Regression. LTS回归与M估计稳健性的比较。
- Is it possible for an estimator to be unbiased but inconsistent? 是否有可能(一个估计量)是无偏却不一致的?
- The performance of DOA estimator is studied via Monte Carlo simulations. 仿真结果验证了该方法的有效性。
- We are discussing whether OLS estimator satisfy asymptotic normality. 我们讨论是否OLS估计量满足渐近正态性。
- So that, in RX needs a well estimator to reconstruct original signal. 因此,在接收端需要有一个良好的估测系统来还原信号。
- Objective The collinearity in data can produce inaccurate estimator and test. 目的共线关系可产生不准确的估计及检验。
- In this paper, we mainly discuss nonparametric and semiparametric functional coefficient quantile regressions, their estimation methods and applications. 在本文中,主要讨论了非参数和半参数变系数分位数回归模型的估计及其应用。
- Chapter 5 concludes the paper. Nonparametric and semiparametric functional coefficient quantile regression have very good explainations for economic issues. 第五章给出了本文的最终结论,说明了非参数和半参数变系数分位数回归模型对于实际经济问题具有很好的解释能力。
- In theory, semiparametric functional coefficient quantile regression has less hypothesis and more extensive application in order to explain economic phenomena accurately. 半参数变系数分位数回归模型,在理论上其假设前提条件限制比较少,在应用上具有很好的灵活性和很广的适用空间,能够更好地解释现实经济问题。
- The estimator is simple in construction and the error of stator resistance is small. 该辨识器结构简单,辨识的定子电阻误差较小。
- Simulation results show that the ML estimator produces more efficient than the LS estimator. 仿真结果表明,对于此类误差最大似然估计比最小二乘估计有效性更好。
- The result calculated by the Needs Estimator is only a guide based on your information. 根据您提供的资料所计算的结果仅作参考。
- Develop construction plans and provide construct ability analysis (Construction Estimator). 开发建筑计划并提供能力分析(建筑测算师)
- The results from GPS surveying data show that the direct estimation methods considering the second order items can be used in least square kernel estimating of nonlinear semiparametric models. 用实测数据进行计算,证明了对于非线性半参数模型最小二乘核估计,可采用顾及二次项的直接解法。
- This is the amount the Needs Estimator calculates you will need for your retirement. 此评估有助您计算退休后所需的款项。
- In this paper, we have considered a new class of semiparametric regression model Under some mild conditions we have obtained better uniformly strong convergence rates for the proposed estimators. 本文讨论了一类新的半参数回归模型,在一组比较基本的条件下,得到了估计量的较好的一致强收敛速度。