Estimation on Varying-Coefficient Partially Linear Model With Different Smoothing Variables

The authors give the estimation on the varying-coefficient partially linear regression model with different smoothing variables. The efficient estimators of the intercept function and the coefficient functions are obtained by a one-step back-fitting technique based on their initial estimators given by local linear technique and the averaged method. Furthermore, their asymptotic normalities are given. Some simulation studies are used to illustrate the performances of the estimation.     

On the Bias of the Maximum Likelihood Estimator for the Two-Parameter Lomax Distribution

The Lomax (Pareto II) distribution has found wide application in a variety of fields. We analyze the second-order bias of the maximum likelihood estimators of its parameters for finite sample sizes, and show that this bias is positive. We derive an analytic bias correction which reduces the percentage bias of these estimators by one or two orders of magnitude, while simultaneously reducing relative mean squared error. Our simulations show that this performance is very similar to that of a parametric bootstrap correction based on a linear bias function. Three examples with actual data illustrate the application of our bias correction.     

Empirical Analysis of Interval-Censored Failure Time Data with Linear Transformation Models

Interval-censored data naturally arise in many studies. For their regression analysis, many approaches have been proposed under various models and for most of them, the inference is carried out based on the asymptotic normality. In particular, Zhang et al. (2005) discussed the procedure under the linear transformation model. It is well-known that the symmetric property implied by the normal distribution may not be appropriate sometimes. Also the method could underestimate the variance of estimated parameters. This paper proposes an empirical likelihood-based procedure for the problem. Simulation and the analysis of a real data set are conducted to assess the performance of the procedure.     

Semiparametric Smooth Coefficient Stochastic Frontier Model With Panel Data

ABSTRACT

We investigate the semiparametric smooth coefficient stochastic frontier model for panel data in which the distribution of the composite error term is assumed to be of known form but depends on some environmental variables. We propose multi-step estimators for the smooth coefficient functions as well as the parameters of the distribution of the composite error term and obtain their asymptotic properties. The Monte Carlo study demonstrates that the proposed estimators perform well in finite samples. We also consider an application and perform model specification test, construct confidence intervals, and estimate efficiency scores that depend on some environmental variables. The application uses a panel data on 451 large U.S. firms to explore the effects of computerization on productivity. Results show that two popular parametric models used in the stochastic frontier literature are likely to be misspecified. Compared with the parametric estimates, our semiparametric model shows a positive and larger overall effect of computer capital on the productivity. The efficiency levels, however, were not much different among the models. Supplementary materials for this article are available online.     

Performance analysis of the retrial queues with finite number of sources and service interruptions

This paper aims at presenting an analytic approach for investigating a single-server retrial queue with finite population of customers where the server is subject to interruptions. A free source may generate a primary call to request service. If the server is free upon arrival, the call starts to be served and the service times are independent, generally distributed random variables. During the service time the source cannot generate a new primary call. After service the source moves into the free state and can generate a new primary call. There is no waiting space in front of the server, and a call who finds the server unavailable upon arrival joins an orbit of unsatisfied customers. The server is subject to interruptions during the service processes. When the server is interrupted, the call being served just before server interruption goes to the retrial orbit and will retry its luck after a random amount of time until it finds the server available. The recovery times of the interrupted server are assumed to be generally distributed. Our analysis extends previous work on this topic and includes the analysis of the arriving customer’s distribution, the busy period, and the waiting time process.     

关于将藏中南地区大开发大开放纳入国家重点开发战略的建议

藏中南地区即西藏“一江三河”是国家西部大开发战略与《全国主体功能区》规划的重点开发区,目前启动大开发大开放不仅是因为其有良好的区位条件,而且具有经济开发的资源条件和环境支撑条件.经过多年的发展,藏中南地区有较好的开发基础,为进一步开发打下了坚实的基础.此外,新疆等边疆少数民族地区重点区域开发实践为藏中南提供了有益的启示.为此,建议启动藏中南地区大开发大开放并加紧列入党和政府的议事日程,加快制定藏中南重点开发区发展规划,明确藏中南重点开发区的发展方向,中央制定藏中南重点开发区的特殊政策.     

湿蒸汽两相流流量及干度的双参数测量研究

本文采用孔板及均速管组合形式,对汽-水两相流的流量及干度的双参数测量进行了实验研究。实验结果表明,这种测量方法可以满足高干度湿蒸汽测量的要求,具有很好的工业适用性。     

企业伦理气候、组织承诺与组织公民行为的关系——以温州民营企业为例

企业社会责任等方面存在的问题是造成温州民营企业“民工荒”的重要原因。通过问卷调查,发现员工对企业伦理气候中的法规导向最为认可且看法比较一致,对组织承诺中的情感承诺最为认可且对道德承诺的看法相对一致,对组织公民行为中的组织公益最为认可且看法比较一致。员工对组织承诺、组织公民行为的主张是正向积极的,未发现企业伦理气候、组织承诺对组织公民行为有强烈的正向影响。提出温州民营企业摆脱困境的思路：重视企业伦理气候建设,形成正确的企业文化,增强员工的向心力;强化员工的组织承诺;鼓励员工的组织公民行为。     

试论新公共服务理论视野下的新疆乌昌一体化

新公共服务理论认为,政府应提供服务,而不是掌舵,政府越来越重要的职能是帮助公民明确表达和满足他们的共同利益需求。目前新疆乌昌一体化的发展,强调了区域经济发展在区域一体化中的中心角色,从新公共服务理念的角度来看,有效治理区域发展中诸多公共性问题有一定难度。为进一步提升乌昌一体化的质量,该区域应适时改进已有的区域发展策略。     

关于社会秩序存在的前提性心思考

力求在社会哲学的层面上从社会秩序的生成、总体性展开以及秩序主体构成等几个视角对社会秩序存在的实践基础进行分析,以推进社会秩序问题的相关研究.指出在社会哲学的意义上,社会秩序有其存在的实践基础.实践是探寻社会秩序的存在本质的现实起点.社会秩序是在实践中生成,并在实践的基础上总体性展开.要正确地认识社会秩序的存在方式,就必须把社会秩序放到其与人的关系中去探讨,而要正确把握社会秩序与人在实践中的关系,必须首先正确地理解社会秩序的主体问题.