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kernel smoothing
相关语句
  核光滑
     The large sample property of kernel smoothing product limit estimation under random right censorship
     随机右删失下核光滑乘积限估计的大样本性质
短句来源
     KERNEL SMOOTHING ESTIMATE OF SEMIPARAMETRICMODEL AND SIMULATION ANALYSIS
     半参数模型核光滑估计与模拟分析
短句来源
     Lloyd proposed using a kernel smoothing method and certified that the kernel estimators of the ROC curve are better than empirical. However, Lloyd’s estimator has some drawbacks.
     Lloyd 给出ROC 曲线一种核光滑估计,并证明了他的这种核光滑估计比经验ROC 曲线估计好。
短句来源
     This paper studies the large sample property of |F n(t)- n(t)| and obtains the large sample property of kernel smoothing product limit estimation  n(t) under random right censorship, especially the necessary and sufficient condition implying n 1/2 ((t)-F(t))= n(t)→wG p(t).
     讨论了随机右删失下乘积限估计Fn(t) 与核光滑乘积限估计Fn(t) 之差(Fn - Fn)(t)的大样本性质,得出了Fn(t)的一般大样本性质,特别是n1/2(F(t)- F(t))= γn(t)→w Gp(t)的充分与必要条件.
短句来源
     Two methods of kernel smoothing in semiparametric regression model are studied that one is related to partial kernel smoothing and the other to partial residual. The window parameter is choiced by use of generalized cross-validation function for kernel estimate.
     讨论了半参数模型核光滑估计的两种方法 ,即偏核光滑估计与偏残差估计 ,通过构造核估计广义交叉核实函数自动选取窗口参数。
短句来源
  核估计
     One Step Kernel Smoothing Estimation of Coefficient Functions for Varying-coefficients EV Models
     变系数EV模型系数参数的一步核估计
短句来源
     Kernel Smoothing Estimation for Varying-coefficients EV Models
     变系数EV模型系数参数的核估计
短句来源
     (4) Demonstrations show that least square kernel is a wonderful way to decompose the correlations of semiparametric linear regression model for longitudinal data, and weighted least square kernel smoothing and weighted least square are viable and effective.
     (4) 数值研究表明,最小二乘核估计法可以很好的解决纵向数据半参数线性回归模型中数据的相关性,拟合效果比较好;
短句来源
     Two methods of kernel smoothing in semiparametric regression model are studied that one is related to partial kernel smoothing and the other to partial residual. The window parameter is choiced by use of generalized cross-validation function for kernel estimate.
     讨论了半参数模型核光滑估计的两种方法 ,即偏核光滑估计与偏残差估计 ,通过构造核估计广义交叉核实函数自动选取窗口参数。
短句来源
  “kernel smoothing”译为未确定词的双语例句
     Influence Diagnostics for the Cross-Validated Smoothing Parameter in Kernel Smoothing
     Influence Diagnostics for the Cross-Validated Smoothing Parameter in Kernel Smoothing
短句来源
     Finally,the comparison between calculating kernel smoothing and spline smoothing demonstrates that this method can be used to estimate model error for regression function or systematic error in surveying.
     最后将模拟计算与光滑样条进行了比较 ,表明该方法可以用于曲线拟合或模型系统误差估计。
短句来源
     In this paper,the estimation of coefficient functions in a varying-coefficients EV model are constructed by using kernel smoothing and generalized least square method.
     利用核函数法和广义最小二乘法给出了一般变系数EV模型系数参数的估计,得到了估计的强相合性.
短句来源
     Finally,we have got liquidity distribution at different time by kernel smoothing technology. Taking the change of liquidity distribution,which is measured by relative entropy as proxy of information content of market absorbed by trading,we found the information content by absorbed market is the largest in 10:30-11:30.
     最后,通过核平滑估计得出个股在不同时点的流动性分布,应用相对熵度量流动性分布的变化作为市场在交易中吸收的信息含量的代理变量,发现10∶30~11∶30市场吸收的信息含量最多。
短句来源
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  kernel smoothing
Kernel smoothing is a widely used non-parametric pattern recognition technique.
      
Results show that distributions of efficiency scores, estimated nonparametrically by means of kernel smoothing, vary greatly.
      
(J Am Stat Assoc 98:158-168, 2003) using a kernel smoothing approach to incorporate information on continuous phase-I covariates.
      
We derive the asymptotic properties of the quantile estimator and propose confidence interval estimators based on the bootstrap and kernel smoothing methods.
      
This purely nonparametric method is based on discrete or continuous kernel smoothing techniques that gives a compromise between the data and smoothness.
      
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Strong approximations for the perturbed (kernel-smoothing) empirical processare obtained under weak conditions. From these results we can obtain the law of iteratedlogarithm and asymptotic normality for the perturbed empirical process.

STRONGAPPROXIMATIONFORPERTURBEDEMPIRICALPROCESSES¥ZHOUYong(DepartmentofProbabilityandStatistics,PekingUniversity,Beijing10087...

This paper studies the large sample property of |F n(t)- n(t)| and obtains the large sample property of kernel smoothing product limit estimation  n(t) under random right censorship, especially the necessary and sufficient condition implying n 1/2 ((t)-F(t))= n(t)→wG p(t).

讨论了随机右删失下乘积限估计Fn(t) 与核光滑乘积限估计Fn(t) 之差(Fn - Fn)(t)的大样本性质,得出了Fn(t)的一般大样本性质,特别是n1/2(F(t)- F(t))= γn(t)→w Gp(t)的充分与必要条件.

In this paper, we study the estimation of a density function based on censoreddata by the kernel smoothing mothed. A Berry-Esseen type bound is derived for thekernel density estimators at a fixed point x.

本文在随机删失数据下研究了概率密度函数的核估计,获得了此核估计的一个Berry-Esseen界.

 
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