瑞利分布的可靠性分析

基于逐步增加Ⅱ型截尾样本,研究了瑞利分布可靠性指标的贝叶斯估计及其容许性。在不同的损失函数下给出了分布参数、可靠度函数、失效率函数的贝叶斯估计及参数的最短可信区间估计,并证明了贝叶斯估计具有容许性。最后运用蒙特卡洛方法对各结果的均方误差进行了比较。     

Conditional Control Charts for Monitoring the Weibull Shape Parameter under Progressively Type II Censored Data

In this paper, (i) we propose new conditional Shewhart‐type control charts for monitoring the shape parameter of the Weibull distribution under a progressively type II censoring strategy, and (ii) we generalize the control charts proposed by Guo and Wang¹ for the progressively type II censoring case. We provide a comparison between these control charts in terms of the out‐of‐control average run length obtained by simulation for both the known and unknown parameter cases. A real example consisting of data from breaking stress of carbon fibers is also presented for illustration and comparison of the proposed control charts. Copyright © 2014 John Wiley & Sons, Ltd.     

添加某种化合物提高改性单基药性能(英)

<正>The modified single base propellant is generally prepared from single base propellant grains by impregnation with a blasting oil nitroglycerine(NG),following by deterring with a polyester(NA).In our recent research,the performances of the propellant were improved significantly through adding a special compound at the second step.Samples without and with the compound was denoted as IDC-1 and IDC-2,respectively.     

联肢剪力墙在水平荷载作用下的简化计算

本文将水平荷载所产主的层间剪力在各墙肢间按层间侧移刚度进行分配,每个墙肢按所分配到的作用力分别单独计算。自顶层开始,采取逐层往下递推计算的方法。该方法可用于各层层间刚度相同或不同的联肢剪力墙的计算。     

递增式标准数据模块构建方法

在数据预处理系统中,标准数据模块用于比对发现数据中存在错误和问题,现有的构建方法通常是简单的直接写入数据库,造成查找效率低且更新维护困难。文章分析现有标准数据存在的问题的基础上,提出一种递增式标准数据模块构建方法,并在＂工厂字典＂中进行了验证。     

复杂断块油田的最终探明储量预测

复杂断块油田在滚动开发中存在预测最终探明储量的问题。以JS油区为例，总结了复杂断块油田储量变化特征及其储量增长的特点，提出了最终探明储量的内涵，认为最终探明储量是已探明储量、已控制储量中可能升级的探明储量、预测滚动储量中可能升级的探明储量三者之和。建立了以圈闭法、经验外推法、油田规模序列法为预测手段的复杂断块油田最终探明储量预测方法。应用该方法对ZW油田的最终探明储量进行了预测。图3参7（王忠和摘）     

Analysis of dependent competing risks in the presence of progressive hybrid censoring using Marshall–Olkin bivariate Weibull distribution

The lifetime of subjects in reliability and survival analysis in the presence of several causes of failure (i.e., competing risks) has attracted attention in the literature. Most studies have simplified the computations by assuming that the causes are independent, though this does not hold. Dependent competing risks under progressively hybrid censoring condition using a Marshall–Olkin bivariate Weibull distribution is investigated. Maximum likelihood and approximated maximum likelihood estimators are developed for estimating the unknown parameters. Asymptotic distributions of the maximum likelihood estimators are used to construct approximate confidence intervals using the observed Fisher information matrix. Based on a simulation and real applications, it is illustrated that when a parametric distributional assumption is nearly true, a close approximation could be achieved by deliberately censoring the number of subjects and the study duration using Type-II progressively hybrid censoring, which might help to save time and money in research studies.     

Estimation for mixed exponential distributions under type-II progressively hybrid censored samples

The type-II progressively hybrid censoring scheme can be deemed as a mixture of type-II progressive and hybrid censoring schemes, which has been utilized to analyze lifetime data in the literature for exponential distribution and Weibull distribution and so on, where the experiment terminates at a pre-specified time. However, little attention has been paid to parametric estimation under this censoring scheme for the mixed exponential distribution (MED) model, which is an important model in life data analysis. Based on type-II progressively hybrid censored samples, the estimation problem of the MED is addressed. The closed form of maximum likelihood estimators (MLEs) of unknown parameters using the EM algorithm are obtained. Some Monte Carlo simulations are implemented and a real data set is analyzed to illustrate the performance of the proposed method.     

制图综合递减指数分布模型的建立

论述了在地图编制中制图综合递减指数分布数学模型建立的过程，参数解算及其在实际工作中的应用。     

逐步增加的Ⅱ型截尾下冷贮备串联系统可靠性指标的Bayes估计

在逐步增加的Ⅱ型截尾模型下,研究部件寿命服从双参数指数分布的冷贮备串联系统可靠性指标的Bayes估计。在超参数未知的情形下,分别在平方损失(SE),LINEX损失和熵(General Entropy,GE)损失函数下给出两个参数及可靠性指标的Bayes估计;对于超参数的确定,给出一种新的方法;最后利用随机模拟方法进行比较,并对结果进行了讨论。