But it was difficult to calculate, because censored data in the form of samples of the likelihood function is very complex.
但计算很是困难，原因就是删失数据后样本的似然函数的形式很复杂。
The present paper considers simple failure-step-stress ALT for censored data assumed to be from an exponential distribution.
本文试图在指数分布场合下对截尾数据讨论简单步加试验。
In this paper we shall discuss two topics: the empirical distribution function of censored data and the Linear regression with censored data.
本文综述了其中的两个问题：截断数据的经验分布函数以及截断数据的线性回归分析。
A new method of moment parameter estimation parameter is given by double side censored data and interval data in the exponential distribution.
对指数分布下的双截尾数据和分段数据，给出了其参数矩估计的一种新的方法。
The traditional product limit estimation method can only deal with complete data and right censored data, but can not deal with left truncated data.
传统的乘积限估计法只能处理寿终数据和右删失数据，对左截断数据则无能为力。
Abstract :For obtaining fatigue limit and dealing with censored data, the "pair-life-weighted" and "censored life approximation" methods were proposed.
针对概率疲劳统计中疲劳极限与定时截尾数据的处理问题，提出了求解疲劳极限的“配对寿命加权法”及求解疲劳曲线的“截尾寿命近似法”。
In the case of K type interval censored data, the lower confidence limit of parameter is studied based on the order relation established in the sample space.
基于K型区间删失数据，利用样本空间排序法给出参数优良的置信下限和计算置信下限的递推公式。
In this paper, a nonparametric estimator terminated of failure rate is constructed based on censored data, and its rates of convergence in mean square and strong consistency are given respectively.
本文在截尾样本下构造了失效率的一种截尾非参数估计，并给出了其均方收敛及强相合性的局部一致收敛速度。
The present method extends the traditional multiple regression analysis that is only suitable to normal distribution and complete data to Weibull distribution, extreme distribution and censored data.
传统的多元回归分析只适用于正态分布和完全数据的情况，而本文则将其推广到威布尔分布、极值分布和截尾数据的情况。
The traditional regression analysis is only suitable to complete data from normal distribution. In engineering, censored data is analyzed by group test method that requires a large number of samples.
传统回归分析只适用于来自正态分布的完全数据，对于截尾数据或威布尔分布数据则无能为力，目前工程上只能采用成组试验方法，结果导致试验量很大。
In this paper laws of the iterated logarithm for quantile density estimator and its derivative estimators are established when data are subject to left-truncated and right-censored observations.
在左截断右删失数据下，我们基于乘积限估计给出了分位密度估计，获得了分位密度估计及其导数的重对数律。
In this paper laws of the iterated logarithm for quantile density estimator and its derivative estimators are established when data are subject to left-truncated and right-censored observations.
在左截断右删失数据下，我们基于乘积限估计给出了分位密度估计，获得了分位密度估计及其导数的重对数律。
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