This paper presents moment estimation of the progressive stress accelerated life testing under exponential distribution censored samples.
讨论了指数分布场合下序进应力加速寿命试验的矩估计问题。
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。
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。
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。
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 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。
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。
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