多元寿命分布SNBU的刻划及其封闭性

本文讨论了多元寿命分布SNBU的性质,给出了SNBU分布类的一个刻划,引进了G-映射的定义,通过G-映射性质的讨论,给出了SNBU分布类的一些封闭性。     

天梯模型和风险率有上界的寿命分类类

本文介绍的天梯模型是一种广泛的寿命分布模型。利用此模型在总结现有分布类基础上引伸出一个风险率有上界的寿命分布类。新分布类是有理ＬＳ变换分布类和位相型分布类的真推广，且更具优良的封闭性质。此外，新分布类可看作一类非齐次Ｍａｒｋｏｖ链的首通时间分布，因此它与随机模型理论有着密切的联系。     

随机序与寿命分布类

各种各样的随机序是随机比较的最基本的概念，每一种新的，有实际背景和理论依据的随机序的引入会丰富随机比较方法的研究内容，也有可能使人们更好洞察和理解其中某些概念和结果的本质。而反映时效性质的寿命分布类的研究不仅是随机比较方法的重要组成部分，而且它在运籍学，应用概率和统计学中有广泛的应用。各种寿命分布类的定义密切密切联系于各种不同的随机序，而且人们还可以反过来从寿命分布类出发定义新的随机序，由此又能引     

寿命分布类中指数分布的刻画

本文由顺序量或正则化间距的某些矩性质,在不同的寿命分布类中刻画了指数分布。     

寿命分布类研究

本文简要地叙述了一维寿命分布类引入的实际背景,基本性质,并着重介绍寿命分布与指数分布或几何分布的贴近性研究及寿命分布类的可靠度界等问题。许多结果是新近获得的。     

残余寿命熵的上界

讨论寿命分布混合的类不变性问题,改进了文[1]中的相关结果.此外,基于寿命分布类的特性研究了不同于[4]的另一类残余寿命熵的特性,并在一定的条件下得到残余寿命熵的上界.     

一类推广的复合Poisson模型破产概率的上界估计

对于一类推广的复合Poisson风险模型,利用破产概率所满足的一个瑕疵更新方程以及离散寿命分布类的性质获得了关于最终破产概率的函数型上界估计.     

生存分析中乘积限估计的大样本性质

生存分析中，人们关心的问题之一是利用不完全的寿命调查数据估计生物折寿命分布。在实际问题中，比较常见的不完全数据包括右删失数据，左截断数据和左截断右删失数据。利用这三种数据估计寿命分布时，常用的统计量是乘积限估计。于是，乘积限估计的大样本性质的研究一直受到关注。本文就这方面的研究近况做一比较系统的论述。     

基于分散型和扩散型随机序对几种寿命分布类的刻画

本文基于分散型和(或)扩散型随机序，利用随机变量的剩余寿命给出了寿命分布类ILR，IFR，DMRL和IFR(2)及其对偶类的刻画．作为主要结果的一个应用，用k／n-系统的剩余寿命对IFR和DMRLS及其对偶类进行了刻画．这些结果拓宽和加强了文献中已有的结果．     

离散寿命分布类的统计封闭性

由于几何分布的无记忆性,使得几何分布在离散型寿命分布研究中起着极其重要的作用.文章给出几何分布的一个重要特性———其第一个次序统计量仍服从几何分布(称其满足统计封闭特性).针对不同的离散型寿命分布类研究其是否具有统计封闭性.     

在不均匀旋转大气中瞬时圆形轨道的人造卫星的寿命

本文用能量观点研究了人造卫星在不均匀旋转大气的阻力作用下的寿命.根据流体动力学,大气旋转角速度随高度而减小.大气密度按指数形式而减少.文中推出了卫星在上述旋转大气模型中瞬时圆形轨道上的寿命表达式,并对具体卫星的寿命做了数值估计.结果表明:在本文中所计算出的卫星寿命比前人将大气旋转同地球自转角速度一样的模型所算出的寿命要短些.     

一个新的具有单调降失效率的寿命分布

本文由Pareto分布和Logarithmic分布"混合"生成两参数具有单调降失效率的新型寿命分布,研究了该分布的矩、熵、失效率函数、平均剩余寿命和参数的极大似然估计,应用EM算法求参数的极大似然估计,进行了数值模拟.     

A stochastic expectation-maximization algorithm for the analysis of system lifetime data with known signature

Statistical estimation of the model parameters of component lifetime distribution based on system lifetime data with known system structure is discussed here. We propose the use of stochastic expectation-maximization (SEM) algorithm for obtaining the maximum likelihood estimates of model parameters based on complete and censored system lifetimes. Different ways of implementing the SEM algorithm are also studied. We have shown that the proposed methods are feasible and are easy to implement for various families of component lifetime distributions. The proposed methodologies are then illustrated with two popular lifetime models—the Weibull and Birnbaum-Saunders distributions. Monte Carlo simulation is then used to compare the performance of the proposed methods with the corresponding estimation by direct maximization. Finally, two illustrative examples are presented along with some concluding remarks.     

Specifying measurement errors for required lifetime estimation performance

Lifetime estimation based on the measured health monitoring data has long been investigated and applied in reliability and operational management communities and practices, such as planning maintenance schedules, logistic supports, and production planning. It is known that measurement error (ME) is a source of uncertainty in the measured data considerably affecting the performance of data driven lifetime estimation. While the effect of ME on the performance of data driven lifetime estimation models has been studied recently, a reversed problem—“the specification of the ME range to achieve a desirable lifetime estimation performance” has not been addressed. This problem is related to the usability of the measured health monitoring data for estimating the lifetime. In this paper, we deal with this problem and develop guidelines regarding the formulation of specification limits to the distribution-related ME characteristics. By referring to one widely applied Wiener process-based degradation model, permissible values for the ME bias and standard deviation can be given under a specified lifetime estimation requirement. If the performance of ME does not satisfy the permissible values, the desirable performance for lifetime estimation cannot be ensured by the measured health monitoring data. We further analyze the effect of ME on an age based replacement decision, which is one of the most common and popular maintenance policies in maintenance scheduling. Numerical examples and a case study are provided to illustrate the implementation procedure and usefulness of theoretical results.     

Optimum step-stress partially accelerated life tests for the truncated logistic distribution with censoring

This paper deals with the optimal designing of step-stress partially accelerated life tests (PALTs) in which items are run at both accelerated and use conditions under censoring. It is assumed that the lifetime of the items follow truncated logistic distribution truncated at point zero. Truncated distributions arise when sample selection is not possible in some sub-region of the sample space. The logistic distribution is considered inappropriate for modeling lifetime data because left hand side of its distribution extends to negative infinity, and this could conceivably result in modeling negative times-to-failure. This has necessitated the use of truncated logistic distribution truncated at point zero for modeling lifetime data. Unlike the widely studied exponential, Weibull and lognormal life distributions, the failure rate of truncated logistic distribution is increasing and more realistically bounded below and above by non-zero finite quantity. The optimal change-time for the step PALT is determined by minimizing either the generalized asymptotic variance of maximum likelihood estimates (MLEs) of the acceleration factor and the hazard rate at use condition or the asymptotic variance of MLE of the acceleration factor. Inferential procedure involving model parameters and acceleration factor are studied. Sensitivity analysis is also performed.     

A Random Shock Model with Mixed Effect,Including Competing Soft and Sudden Failures,and Dependence

A system is considered, which is subject to external and possibly fatal shocks, with dependence between the fatality of a shock and the system age. Apart from these shocks, the system suffers from competing soft and sudden failures, where soft failures refer to the reaching of a given threshold for the degradation level, and sudden failures to accidental failures, characterized by a failure rate. A non-fatal shock increases both degradation level and failure rate of a random amount, with possible dependence between the two increments. The system reliability is calculated by four different methods. Conditions under which the system lifetime is New Better than Used are proposed. The influence of various parameters of the shocks environment on the system lifetime is studied.     

Discussion of “Birnbaum‐Saunders distribution: A review of models,analysis and applications”

This paper provides the distribution of order statistics from a multivariate Birnbaum‐Saunders (GMBS) distribution which can be used in the reliability and lifetime analyses. Proposing a new generalization of Birnbaum‐Saunders distribution based on the unified skew‐elliptical model, some properties of the order statistics are also studied.     

定数截尾数据缺失场合下冷贮备串联系统可靠性指标的经验Bayes估计

在定数截尾缺失数据样本下,研究了冷贮备串联系统的可靠性指标评估问题.将经典估计方法和Bayes方法相结合得到了部件的平均寿命、系统可靠度及平均寿命等可靠性指标的Bayes点估计和区间估计.最后利用随机模拟例子说明了方法的正确性和可行性.     

Pareto-Geometric分布

本文提出了一种具有单调失效率的新型寿命分布, 即由Pareto分布和Geometric分布生成的两参数的Pareto-Geometric分布, 研究了该分布的各种性质和参数极大似然估计的存在唯一性, 并应用 EM 算法得到了参数的极大似然估计值和相应的渐近方差、协方差.