行政案例分析在行政学原理中的应用探讨

行政案例分析在行政学原理教学中具有不可替代的作用。坚持和完善讲授式教学方法,是搞好案例分析课程的首要环节;行政案例分析课程组织实施中的关键环节主要由选择案例、学生分组、课前准备、班级发言、提交小组案例分析报告与教师总结多个步骤所组成;目前我国在行政案例教学中虽然还存在诸多问题,但我们坚信行政管理专业教育一定会在不断革新中发展,行政案例教学的春天一定会到来。     

电磁场中量子体系的规范不变性

本文讨论了处于电磁场中的体系的量子力学形式。结果表明,虽然对体系的描述涉及到电磁势,但体系的物理性质只依赖于电场和磁场的强度;如果改变描述电磁场的势,则体系的物理性质仍保持不变.     

Minimum Volume Confidence Sets for Two-Parameter Exponential Distributions

Under a reasonable restriction, we create the minimum volume confidence set for location and scale parameters of the exponential distribution. Compared to existing methods, none of which has a minimum-area property, the new confidence set is significantly the best (most accurate) with smallest volume, for whatever confidence level, sample size, and sample data.     

A model for integrated production-packaging systems

The problem of determining the economic packaging frequency of jointly replenished items has received a lot of attention from researchers. This problem is usually encountered while packaging the products after completing manufacture. Nevertheless, production batch quantities certainly influence the manufacturing cycle time of products and hence the economic packaging quantities for jointly replenished items. Therefore, realizing the importance of the relationship between production batch quantities and packaging quantities     

Exact conditional inference for two uniform populations

We discuss the nature of ancillary information in the context of the continuous uniform distribution. In the one-sample problem, the existence of sufficient statistics mitigates conditioning on the ancillary configuration. In the two-sample problem, additional ancillary information becomes available when the ratio of scale parameters is known. We give exact results for conditional inferences about the common scale parameter and for the difference in location parameters of two uniform distributions. The ancillary information affects the precision of the latter through a comparison of the sample value of the ratio of scale parameters with the known population value. A limited conditional simulation compares the Type I errors and power of these exact results with approximate results using the robust pooled t-statistic.     

Bayesian robustness in bidimensional models: Prior independence

When θ is a multidimensional parameter, the issue of prior dependence or independence of coordinates is a serious concern. This is especially true in robust Bayesian analysis; Lavine et al. (J. Amer. Statist. Assoc.86, 964–971 (1991)) show that allowing a wide range of prior dependencies among coordinates can result in near vacuous conclusions. It is sometimes possible, however, to make confidently the judgement that the coordinates of θ are independent a priori and, when this can be done, robust Bayesian conclusions improve dramatically. In this paper, it is shown how to incorporate the independence assumption into robust Bayesian analysis involving -contamination and density band classes of priors. Attention is restricted to the case θ = (θ₁, θ₂) for clarity, although the ideas generalize.     

Bayesian estimation and prediction for some life distributions based on record values

Some statistical data are most easily accessed in terms of record values. Examples include meteorology, hydrology and athletic events. Also, there are a number of industrial situations where experimental outcomes are a sequence of record-breaking observations. In this paper, Bayesian estimation for the two parameters of some life distributions, including Exponential, Weibull, Pareto and Burr type XII, are obtained based on upper record values. Prediction, either point or interval, for future upper record values is also presented from a Bayesian view point. Some of the non-Bayesian results can be achieved as limiting cases from our results. Numerical computations are given to illustrate the results.     

Inference for Log-Gamma Distribution Based on Progressively Type-II Censored Data

We discuss the maximum likelihood estimates (MLEs) of the parameters of the log-gamma distribution based on progressively Type-II censored samples. We use the profile likelihood approach to tackle the problem of the estimation of the shape parameter κ. We derive approximate maximum likelihood estimators of the parameters μ and σ and use them as initial values in the determination of the MLEs through the Newton–Raphson method. Next, we discuss the EM algorithm and propose a modified EM algorithm for the determination of the MLEs. A simulation study is conducted to evaluate the bias and mean square error of these estimators and examine their behavior as the progressive censoring scheme and the shape parameter vary. We also discuss the interval estimation of the parameters μ and σ and show that the intervals based on the asymptotic normality of MLEs have very poor probability coverages for small values of m. Finally, we present two examples to illustrate all the methods of inference discussed in this paper.     

后奥运时期北京志愿者组织发展研究

通过抗震救灾志愿服务和奥运志愿行动的推动,志愿服务在我国尤其是北京得到持续发展.在志愿服务的发展过程中,作为志愿服务活动的组织载体,北京的志愿者组织发挥了重要的作用.文章以北京志愿者协会现有的志愿者组织团体为主要研究对象,通过问卷、访谈等形式对北京的志愿者组织进行了调研,在此基础上梳理了志愿者组织发展的现状,分析了北京的志愿者组织在管理体制、资金筹集、社会动员、合法成立等方面存在的问题,并提出应当建立枢纽型志愿者组织,加强志愿者组织的统合管理;设立志愿服务基金会,拓展志愿服务的筹资渠道;搭建信息化平台,有效对接志愿服务供给与需求;完善志愿服务政策法规,推进志愿者组织的制度化、常态化发展.     

清单模式下投标报价的影响因素及策略选择

针对投标人在清单计价模式下投标策略的选择问题,采用系统分析的方法,阐述了投标报价策略的基本类型,并分析了在清单计价模式下投标报价的影响因素,得到投标人需要区别不同的情况选择最适合自己利益的一个或者多个策略来调整自己的报价水平以争取中标的结论,为招投标实务工作提供决策依据。