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.     

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.     

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.     

现代企业管理伦理的多维视角

企业管理的发展史就是一部围绕人的伦理品性展开的历史,管理伦理的基础是历史所赋予的,并且不断为现实所证明.管理伦理就象一只"无形的手",作用于企业管理的各个层面,并且发挥着不可替代的基础调节作用.本文从企业管理的制度、激励和效率三个关键层面探讨了管理制度的伦理性、管理伦理的激励功能和管理效率的道德基础,揭示了管理与伦理的内在契合关系,为实现企业伦理化管理提供理论支持.     

哲学视野中的艺术语言观念迁转论

"言意之辨"是中国古典哲学、诗学中一个聚讼纷纭的根本性问题,不过,通过对儒道佛三家和朱光潜、钱钟书等现代诗学大家的语言观的考察,我们还是能够从中梳理出一条从古典诗学语言工具论向现代诗学语言本体论转变的线索.自20世纪出现"语言学转向"以来,朱光潜、钱钟书等学贯中西的诗学大家对脱胎于儒道佛三家的古典诗学语言工具论进行了有力的批驳.他们或从情思与语言的一致性入手,或从区别哲学意义与艺术意义的言意关系入手,来论证艺术语言的本体论地位.     

职业教育的困境与出路

分析了面对职业教育发展的困境,从学校的角度提出要笑迎困难,振奋精神,积极开展创业培训,才会有更好的发展前景。     

大拉臂和直臂扣球两种挥臂动作的比较分析

通过文献资料法和比较分析法,比较了大拉臂和直臂扣球两种挥臂动作的动作特点、轨迹及其适用范围。