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1)  improper addition and omission
增删失当
2)  Addition or Deletion
增删
3)  add and delete
删增
4)  random censorship
随机删失
1.
Asymptotic properties of estimators in semiparametric regression model under random censorship;
随机删失下半参数回归模型中估计的渐近性质
2.
In this paper the convergence rates of the improved kernel regression estimate and the kernel regression estimate are obtained under random censorship.
本文在随机删失场合下,得到了回归函数m(x)=E[Y/x]的改良核估计及核估计的收敛速度,该结果与完全数据场合完全一致。
3.
This article discusses the parameter estimation problem in the two-parameter exponential distribution based on complete sample, type I censoring sample and random censorship sample, respectively.
本文讨论了双参数指数分布的参数估计问题,在完全数据试验、定数截尾试验和随机删失试验下分别基于线性回归方法(由文献[7]提出)、Bayes方法和极大似然方法给出了双参数指数分布位置参数和刻度参数的估计。
5)  censored data
删失数据
1.
The Bayes analysis of generalized Pareto distribution based on censored data;
基于删失数据的广义Pareto分布的Bayes分析
2.
Strong convergence of turnbull estimate of survival function with grouped double censored data;
分组删失数据下生存函数Turnbull估计的强收敛性
3.
complete data,right\|censored data,left\|censored data,and interval data are introduced.
介绍了 4种常见的寿命数据类型 :寿终数据、右删失数据、左删失数据和区间型数据特征及其相应的数据分析处理方法即生命表法、乘积限估计和 Turbull估计法。
6)  censored data
删失样本
1.
This paper discusses that when the weighted kernel estimator for nonparametric regression function from complete or censored data under independent or mixing associated error sequences,r-order mean consistency rates are obtained separately.
分别在完全样本和删失样本下,当误差为独立或混合序列时,获得了非参数回归函数加权核估计的r阶矩收敛速度。
2.
Under random censored data, * n(x)=∑ni=1W n i (x)Y * iI(|Y * i|≤b n) is the improved nearest neighbor estimate for regression function, the strong consistency of this estimator is obtained.
在删失样本下 ,得到了回归函数m(x) =E(YX =x)的改良近邻估计 ^m n(x) =∑ni =1Wni(x)Y iI( Y i ≤bn)的强相合性。
补充资料:失当
1.不适宜;不恰当。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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