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1)  PL process
乘积限过程
1.
In this paper we obtain exact rates of uniform convergence for oscillation moduli and Lipschitz-12 moduli of PL process and cumulative hazard process when the data are subject to left truncation and right censorship.
本文在左截断右删失模型下获得了乘积限过程和累积失效率过程的振动模和Lipschitz-12模的强一致收敛的精确速度。
2)  product process model
乘积过程模型
1.
Based on the definition of the random walk hypothesis under the nonlinear structure, we use the product process model to test the random walk hypothesis.
随后我们运用乘积过程模型对中国股市收益率在非线性模型下的随机游走假设进行了检验,认为中国股市收益率服从随机游走假设。
3)  Product limit estimation
乘积限估计
1.
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
4)  product-limit estimator
乘积限估计
1.
A class of the generalized product-limit estimators is introduced for regression analysis in the presence of both left-truncation and right-censoring on the response variable.
对于截断与删失下的反映变量,我们提出了一类广义乘积限估计,并获得了它的弱收敛性。
2.
Abstract In this paper we consider sequential fixed-width confindence intervals of quantile function for unknown distribution function F based on TJW product-limit estimator when data are subject to both left truncation and right censorship.
基于左截断右删失数据下的乘积限估计构造了分位数固定宽度序贯置信区间及其估计,研究了序贯置信区间估计的渐近性质。
3.
In this paper, we derive a strong representation of product-limit estimator for left truncateddata.
本文建立了在截断数据下乘积限估计的强表示结果,其误差项的收敛速度达到重对数律。
5)  product limit estimator
乘积极限估计
6)  the rule of the limit multiplying
极限乘积法则
补充资料:乘积
1.两个或两个以上的数相乘所得的数。简称积。
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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