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截断样本
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  “截断样本”译为未确定词的双语例句
     STRONG CONVERGENCE RATE OF THE NEAREST NEIGHBOR ESTIMATOR OF REGRESSION FUNCTION WITH CENSORED DATA
     截断样本下回归函数最近邻估计的强收敛速度
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     STRONG CONVERGENCE RATE OF KERNEL ESTIMATIONS OF REGRESSION FUNCTIONS WITH CENSORED DATA
     截断样本下回归函数核估计的强收敛速度
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     Asymptotic Normality of Kernel Estimates for Intensity and Density Functions with Censored and Truncated Data
     截断样本下的强率函数和密度函数核估计的渐进正态性(英文)
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     v. sequence and prove their properties. For the mixture density function f(x) = (1 - a)f1 (x) + a2 (x) , we givethe estimations of f1, f2 when the observations are full or censored and prove theasymptotic properties of the estimation.
     当观察数据来自混合密度f(x)=(1-α)f_1(x)+α_if_2(x)时,给出了完全样本和随机截断样本情形下F_1,f_2的估计,并证明了估计量的渐近性质。
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     In this paper the kernel estimations of regression functions with censored data are given and better strong convergence rates of the estimations are obtained under some conditions.
     给出了截断样本下非参数回归函数的一类核估计,并讨论了估计的强收敛速度.
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  相似匹配句对
     ON THE TRUNCTION ERROR ESTIMATE FORNONEQUIDISTANT SAMPLING REPRESENTATION
     非等距样本表示的截断误差估计
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     The cutting problem
     截断切割
短句来源
     STRONG CONVERGENCE RATE OF KERNEL ESTIMATIONS OF REGRESSION FUNCTIONS WITH CENSORED DATA
     截断样本下回归函数核估计的强收敛速度
短句来源
     3.Sample selection.
     三、样本选取。
短句来源
     A New Approach of Small Sample Test
     小样本检验法
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  censored and truncated data
In this paper, we consider this general situation and propose a two-step estimation procedure for the estimation of the distribution of a survival time based on doubly interval-censored and truncated data.
      
Frailty Models for Arbitrarily Censored and Truncated Data
      
In this paper, we propose a frailty model for statistical inference in the case where we are faced with arbitrarily censored and truncated data.
      
Parameter estimation for commonly encountered reliability distribution with complete censored and truncated data.
      
Section 4 is devoted to an extension of the results to censored and truncated data.
      
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In this paper, we oonsider the N. N. density estimators under censored data, and study their strong convergence and their rates of convergence. For certain particular censoring, it is shown that the rate of convergence of the density estimators not only reaches the optimal but also improves Chai's result.

本文用最近邻方法寻找在截断样本下的密度估计,证明它的强收敛性并寻求其收敛速度。在某些截断情况下,本文找到的密度估计的收敛速度不仅达到了最佳并且改进了[4]中的收敛速度。

The nearest neighbor estimator of non-parametric regression functions with censored data is discussed by using hoeffding inequality. Under some conditions, the strong convergence rate is obtained. The problem proposed by Zheng Zhukang is partly resolved.

利用Hoeffding不等式讨论截断样本下非参数回归函数的一种最近邻估计,在一定的条件下得到了估计的强收敛速度,从而部分地解决了郑祖康提出的问题。

In this paper the kernel estimations of regression functions with censored data are given and better strong convergence rates of the estimations are obtained under some conditions.

给出了截断样本下非参数回归函数的一类核估计,并讨论了估计的强收敛速度.

 
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