《逍遥游》的现代启示

经典的意义不仅在于静止的过去 ,还在于能不断地生成。庄子的《逍遥游》以其超脱精神启迪现代人应打开心胸 ,认识自身的局限 ,提升心灵境界 ,摆正自己在天地间的位置 ,与万物相谐 ,从而避免物累 ,智慧地生存     

巡视制度的历史考察及借鉴意义

巡视制度是当前完善党内监督的重大举措 ,这种制度古而有之。以史为鉴 ,汲取经验 ,滋补今天的巡视工作 ,使之走上经常化、制度化和规范化的轨道     

有错检验情况下标准型抽样方案的设计

本文给出了在有错检验情况下标准型抽样方案的设计方法，讨论了误检概率ｐ，ｐ′对抽样方案的影响，并给出抽样方案的实际应用。     

强化八个意识,提高高校纪检监察工作能力和水平

按照党的十六大、十六届四中全会对深入开展党风廉政建设和反腐败工作的要求,联系高等学校的实际,就加强纪检监察部门的自身建设,提出了必须强化八个方面的意识,全面提高高校纪检监察工作能力和水平。     

多校区办学视野下的高校纪检监察工作

随着高等教育的快速发展,多校区的办学模式业已形成。新的管理模式将会给高校的纪检监察工作带来新的机遇和挑战。如何适应新的管理模式,提高办学质量和纪检监察工作水平,成了一个紧迫的问题。针对多校区条件下纪检监察工作面临的新挑战,提出解决问题的新思路,以期更好地适应新的管理模式,提高高校纪检监察工作水平。     

任务分解式教学法在检测技术实训中的应用

如何提高实践教学的教学质量是高校教育中亟待解决的问题。以安全检测技术实训为例,采用任务分解式教学方法对这一问题进行了探讨,在实训过程中,通过不断增加具体任务难度、分组打擂、优秀组讲解程序等方式,将安全检测技术各个部分内容有机结合起来,从而为实践教学环节提供一些有益的思路。     

Sourcing with Deferred Payment and Inspection under Supplier Product Adulteration Risk

We study the deferred payment and inspection mechanisms for mitigating supplier product adulteration, with endogenous procurement decision and general defect discovery process. We first derive the optimal deferred payment contract, which reveals that either entire or partial deferral can arise, depending on the moral hazard severity and the information accumulation rate. Because of the supplier's incentive to adulterate, the optimal procurement quantity under deferred payment generally is smaller than the first‐best quantity. We then investigate the inspection mechanism and characterize the equilibrium. We find that under the inspection mechanism, the optimal procurement quantity is no less than the first best. A comparison between these two mechanisms shows that the deferred payment mechanism generally can outperform the inspection mechanism when either the market size is small or the profit margin is low. However, we find that these two mechanisms can also be complementary, for which we characterize a necessary condition.     

Inference on a progressive type I interval-censored truncated normal distribution

In this paper, we consider the problem of making statistical inference for a truncated normal distribution under progressive type I interval censoring. We obtain maximum likelihood estimators of unknown parameters using the expectation-maximization algorithm and in sequel, we also compute corresponding midpoint estimates of parameters. Estimation based on the probability plot method is also considered. Asymptotic confidence intervals of unknown parameters are constructed based on the observed Fisher information matrix. We obtain Bayes estimators of parameters with respect to informative and non-informative prior distributions under squared error and linex loss functions. We compute these estimates using the importance sampling procedure. The highest posterior density intervals of unknown parameters are constructed as well. We present a Monte Carlo simulation study to compare the performance of proposed point and interval estimators. Analysis of a real data set is also performed for illustration purposes. Finally, inspection times and optimal censoring plans based on the expected Fisher information matrix are discussed.     

Double and group acceptance sampling plan for truncated life test based on inverse log-logistic distribution

This paper introduces a double and group acceptance sampling plans based on time truncated lifetimes when the lifetime of an item follows the inverse log-logistic (ILL) distribution with known shape parameter. The operating characteristic function and average sample number (ASN) values of the double acceptance sampling inspection plan are provided. The values of the minimum number of groups and operating characteristic function for various quality levels are obtained for a group acceptance sampling inspection plan. A comparative study between single acceptance sampling inspection plan and double acceptance sampling inspection plan is carried out in terms of sample size. One simulated example and four real-life examples are discussed to show the applicability of the proposed double and group acceptance sampling inspection plans for ILL distributed quality parameters.