1) 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。
2) generalized censored sample
广义删失抽样
1.
Some parameters and functionals estimation problem of the two parametered Weibull distribution are considered based on the generalized censored sample.
在广义删失抽样方案下研究了双参数Weibull分布参数及几个泛函的估计问题。
3) censored distribution
删截样本分布
4) missing sample
样本缺失
6) 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。
补充资料：灰失失
1.悻然﹑失望貌。
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参考词条