Measuring and Achieving Equity in Multiperiod Emergency Material Allocation

Emergency material allocation is an important part of postdisaster emergency logistics that is significant for improving rescue effectiveness and reducing disaster losses. However, the traditional single‐period allocation model often causes local surpluses or shortages and high cost, and prevents the system from achieving an equitable or optimal multiperiod allocation. To achieve equitable allocation of emergency materials in the case of serious shortages relative to the demand by victims, this article introduces a multiperiod model for allocation of emergency materials to multiple affected locations (using an exponential utility function to reflect the disutility loss due to material shortfalls), and illustrates the relationship between equity of allocations and the cost of emergency response. Finally, numerical examples are presented to demonstrate both the feasibility and the usefulness of the proposed model for achieving multiperiod equitable allocation of emergency material among multiple disaster locations. The results indicate that the introduction of a nonlinear utility function to reflect the disutility of large shortfalls can make the material allocation fairer, and minimize large losses due to shortfalls. We found that achieving equity has a significant but not unreasonable impact on emergency costs. We also illustrate that using differing utility functions for different types of materials adds an important dimension of flexibility.     

Robust Designs in Generalized Linear Models: A Quantile Dispersion Graphs Approach

This article studies design selection for generalized linear models (GLMs) using the quantile dispersion graphs (QDGs) approach in the presence of misspecification in the link and/or linear predictor. The uncertainty in the linear predictor is represented by a unknown function and estimated using kriging. For addressing misspecified link functions, a generalized family of link functions is used. Numerical examples are shown to illustrate the proposed methodology.     

内核级并发通信的研究

提出了一种内核级并发消息通信机制。该机制采用对象传送协议和动态线程池技术,并通过会话控制完成数据的收发过程,将线程池设计为二级阻塞队列来暂缓线程的撤销过程,从而保证既能够快速响应客户请求,又可减少因频繁创建和撤销线程而消耗系统的资源和时间,为分布式操作系统提供了高效可靠的通信服务。     

Using local linear kernel smoothers to test the lack of fit of nonlinear regression models

Herein, we propose a data-driven test that assesses the lack of fit of nonlinear regression models. The comparison of local linear kernel and parametric fits is the basis of this test, and specific boundary-corrected kernels are not needed at the boundary when local linear fitting is used. Under the parametric null model, the asymptotically optimal bandwidth can be used for bandwidth selection. This selection method leads to the data-driven test that has a limiting normal distribution under the null hypothesis and is consistent against any fixed alternative. The finite-sample property of the proposed data-driven test is illustrated, and the power of the test is compared with that of some existing tests via simulation studies. We illustrate the practicality of the proposed test by using two data sets.     

Kernel Estimation of Rate Function for Recurrent Event Data

Abstract.  Recurrent event data are largely characterized by the rate function but smoothing techniques for estimating the rate function have never been rigorously developed or studied in statistical literature. This paper considers the moment and least squares methods for estimating the rate function from recurrent event data. With an independent censoring assumption on the recurrent event process, we study statistical properties of the proposed estimators and propose bootstrap procedures for the bandwidth selection and for the approximation of confidence intervals in the estimation of the occurrence rate function. It is identified that the moment method without resmoothing via a smaller bandwidth will produce a curve with nicks occurring at the censoring times, whereas there is no such problem with the least squares method. Furthermore, the asymptotic variance of the least squares estimator is shown to be smaller under regularity conditions. However, in the implementation of the bootstrap procedures, the moment method is computationally more efficient than the least squares method because the former approach uses condensed bootstrap data. The performance of the proposed procedures is studied through Monte Carlo simulations and an epidemiological example on intravenous drug users.     

Book Reviews

Books reviewed:
M Hollander and D Wolfe, Nonparametric Statistical Methods
T Leonard and J.S.J Hsu, Bayesian Methods     

英汉广告常用辞格及其功能

广告修辞新奇巧妙 ,独出心裁 ,凝聚了广告作者的丰富而非凡的想像力 ;广告语篇中恰当而巧妙地运用修辞格不但使广告语言生动活泼 ,言简意赅 ,或节奏感强 ,很有力量 ,而且深刻地描绘或强调广告商品或服务的特征、特性与功能 ,有助于创造其美好形象 ,促进广告走向成功。     

WTO与政府经济管理

加入WTO不仅使政府的经济管理理念、方式、程序等产生全新的变革,而且引发了政府经济管理的重新定位,更进一步强化了政府的服务职能。重新建构政府经济管理体制,转变政府职能,以应对WTO的挑战,从而实现政府经济管理的创新,增强政府经济管理能力。     

谈汉语诗词中的叠词英译

叠词是汉语的一种修辞格,能带来特殊的语言表达效果。叠词形式多样、功能不一,在传达情感、强调意义和创造意境等方面颇具功效,其使用可促进语言形式和内容达到艺术统一。在结构工整严谨、对字词精炼传神、美学效果要求较高的汉语古诗词中,叠词起着不可忽视的作用。聚焦汉语古诗词中叠词的常见类型、特殊功能,关注其英译的策略原则是必要的。     

A Semi-parametric Regression Model with Errors in Variables

Abstract.  In this paper, we consider a partial linear regression model with measurement errors in possibly all the variables. We use a method of moments and deconvolution to construct a new class of parametric estimators together with a non-parametric kernel estimator. Strong convergence, optimal rate of weak convergence and asymptotic normality of the estimators are investigated.